{"id":"W2882981761","doi":"","title":"Comment: : Game-changer","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Nickel; Lithium (medication); Electrical engineering; Value (mathematics); Cobalt; Engineering; Business; Telecommunications; Computer science; Materials science; Metallurgy; Physics; Psychology; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002885941,0.0007915067,0.000597211,0.0005348514,0.005958979,0.004404098,0.003062721,0.02470482,0.1014455],"category_scores_gemma":[0.02446487,0.000424485,0.0009795,0.0006065822,0.002322418,0.006129996,0.002932345,0.01864688,0.04231211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003246821,"about_ca_system_score_gemma":0.003777024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03927005,"about_ca_topic_score_gemma":0.04096824,"domain_scores_codex":[0.9971592,0.0004871921,0.0001486055,0.0005464273,0.0009462983,0.0007122913],"domain_scores_gemma":[0.9950554,0.001859312,0.0002326938,0.0002805731,0.001879789,0.0006921507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001745152,0.000007313091,0.0001717654,0.00002057819,0.000002006567,0.0001576139,0.0002812839,0.00002269321,0.00005963926,0.005189274,0.9921805,0.001889907],"study_design_scores_gemma":[0.00001409344,0.00001060675,0.0004335275,0.00004397941,0.000003586673,0.0001035518,0.0007594305,0.0001005269,0.0001268712,0.001628125,0.9967502,0.00002536198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001772094,0.0006797602,0.0009568299,0.837439,0.03036358,0.0001108751,0.001061263,0.0008852725,0.1267313],"genre_scores_gemma":[0.01085997,0.000232625,0.0001976606,0.8528295,0.003931447,0.0001098759,0.0002242973,0.0002183507,0.1313963],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1014455,"threshold_uncertainty_score":0.339369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166515328241665,"score_gpt":0.3068795493701472,"score_spread":0.1902280165459806,"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."}}