{"id":"W2573016839","doi":"10.1007/s10008-016-3488-9","title":"Eco-friendly process toward collector- and binder-free, high-energy density electrodes for lithium-ion batteries","year":2017,"lang":"en","type":"article","venue":"Journal of Solid State Electrochemistry","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Air Force Office of Scientific Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Electrode; Materials science; Gravimetric analysis; Lithium (medication); Carbon nanotube; Electrochemistry; Cathode; Power density; Energy density; Nanotechnology; Specific energy; Environmentally friendly; Carbon fibers; Energy storage; Current collector; Chemical engineering; Composite material; Electrolyte; Chemistry; Power (physics); Organic chemistry; Engineering physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002238463,0.0002947633,0.0005023782,0.00006972573,0.0003055221,0.0002212149,0.0005384313,0.0001105031,0.00002275701],"category_scores_gemma":[0.0001997508,0.0002852006,0.00006044649,0.00004842329,0.0001058616,0.0005128408,0.00007173252,0.0002238852,5.624748e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659356,"about_ca_system_score_gemma":0.000105389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002319489,"about_ca_topic_score_gemma":0.000006727898,"domain_scores_codex":[0.9984601,0.00001494348,0.0005419506,0.0002147042,0.0002541098,0.000514216],"domain_scores_gemma":[0.9986451,0.00005805664,0.0004884784,0.0003757564,0.0002992979,0.0001333062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003619765,0.00003033521,0.0001799491,0.0004477719,0.0001751003,0.000020132,0.0001399465,0.0001701035,0.9925891,0.00003656765,0.005493679,0.0003553546],"study_design_scores_gemma":[0.001089262,0.0002834348,0.0004066291,0.00008697186,0.0000500675,0.000180578,0.00004272689,0.00006240245,0.984002,0.01289302,0.0006103494,0.0002925823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545996,0.0003302747,0.04404493,0.0002811523,0.0004118574,0.00009962597,0.00006851688,0.0000507506,0.0001132946],"genre_scores_gemma":[0.9962617,0.0005183091,0.00228381,0.00005532556,0.0004696704,0.00002102448,0.000009825257,0.00006018237,0.0003201465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04176112,"threshold_uncertainty_score":0.99996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008494582754946906,"score_gpt":0.2524120768302277,"score_spread":0.2439174940752808,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}