{"id":"W6912766306","doi":"10.5281/zenodo.4636941","title":"Tuning of Crystallinity via Statistical Copolymerization Leads to All-Solid Li-Metal Batteries Effective at Ambient Temperature","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; McMaster University; Université de Sherbrooke","funders":"","keywords":"Crystallinity; Copolymer; Polymer; Work (physics); Statistical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113338,0.0003579239,0.0001983328,0.0001371774,0.0001496548,0.0002457546,0.00009488014,0.0001269074,0.001988688],"category_scores_gemma":[0.0001927034,0.0001220642,0.0001121262,0.0002006735,0.0001964835,0.0003377129,0.0001664795,0.0004167795,0.0005335291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001566158,"about_ca_system_score_gemma":0.000217154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001770967,"about_ca_topic_score_gemma":0.0006567474,"domain_scores_codex":[0.9999291,0.000007759887,0.000007056689,0.00002313592,0.00001658861,0.00001639488],"domain_scores_gemma":[0.9998652,0.00002624978,0.00004803658,0.0000219921,0.00001528732,0.00002324724],"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":[0.00008390073,0.00002759643,0.0001177074,0.00001690456,0.000003109781,0.0000137289,0.00001025469,0.0001415288,0.9970608,0.000224261,0.00005139731,0.002248811],"study_design_scores_gemma":[0.000006435037,0.00004942591,0.0003100391,0.000001000358,0.000002797176,0.00001990126,0.000002944866,0.0005735902,0.9985416,0.00003641346,0.0004537031,0.000002222655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982051,0.0005778717,0.01105893,0.0001568542,0.00004162486,0.00003096006,0.0002556513,0.0003793526,0.005447738],"genre_scores_gemma":[0.9950583,0.0003656394,0.002620965,0.00003633146,0.00001579275,0.00001668574,0.0001435684,0.0001142483,0.00162839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001988688,"threshold_uncertainty_score":0.006652772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338140145330611,"score_gpt":0.2379378168051531,"score_spread":0.224556415351847,"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."}}