{"id":"W4399258978","doi":"10.2139/ssrn.4850874","title":"A New Method to Recycle Li-Ion Batteries with Laser Materials Processing Technology","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Materials science; Laser; Materials processing; Ion; Process engineering; Engineering physics; Engineering; Optics; Chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000658732,0.0003234753,0.000359995,0.0005130491,0.0001082297,0.0004360546,0.0002709139,0.0003189688,0.0001465625],"category_scores_gemma":[0.00002177115,0.0002738368,0.00005162438,0.0003837073,0.00001454648,0.0001572482,0.0001182197,0.003017139,0.0001251398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006878451,"about_ca_system_score_gemma":0.002293408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002270048,"about_ca_topic_score_gemma":0.0003936522,"domain_scores_codex":[0.9978887,0.00003888616,0.0004004569,0.0003203751,0.0002164083,0.001135116],"domain_scores_gemma":[0.9994696,0.00001501759,0.0001146105,0.0001818047,0.0001127017,0.0001062744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005341031,0.00008439802,0.00004396549,0.002599047,0.001711394,0.00009311237,0.003176969,0.08173405,0.1778525,0.03060937,0.02039245,0.6811686],"study_design_scores_gemma":[0.0005213716,0.0004164284,0.00001460149,0.001203837,0.0002745553,0.003106982,0.001900128,0.0008800543,0.2965475,0.5856981,0.1082745,0.001161951],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0616524,0.007902023,0.916925,0.00765771,0.001407324,0.0003916608,0.00001222178,0.001199105,0.002852577],"genre_scores_gemma":[0.9282057,0.003971194,0.04504421,0.0003166039,0.001993751,0.0001489123,0.00003025374,0.0003305462,0.01995884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8718808,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008100759988672015,"score_gpt":0.2858169032600778,"score_spread":0.2777161432714058,"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."}}