{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008454205,0.00008285094,0.0001039834,0.00003628409,0.0001145725,0.0001698822,0.0001504008,0.0001091286,0.000609135],"category_scores_gemma":[0.0001182784,0.00007961102,0.00002885363,0.00002608814,0.00002205193,0.0002660903,0.00001538356,0.0001398874,0.0002128405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000169496,"about_ca_system_score_gemma":0.000009060262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000266778,"about_ca_topic_score_gemma":0.00001639218,"domain_scores_codex":[0.9995672,0.000009017526,0.0001363351,0.00007727919,0.00008522415,0.0001249967],"domain_scores_gemma":[0.9996088,0.00002667363,0.00004509037,0.0002349039,0.00002546781,0.00005903996],"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":[0.000007560778,0.00001279395,0.0002866713,0.00000569235,0.00001940311,0.000003815429,0.00008305989,0.0003022766,0.008462044,0.0007786608,0.9818415,0.008196539],"study_design_scores_gemma":[0.0004740481,0.00001078929,0.0001265885,0.00001210138,0.00000556531,0.000002190174,0.00001318821,0.0006239776,0.006486453,0.0001322142,0.9920118,0.0001011165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09266247,0.0002231163,0.0004836788,0.01478914,0.004450484,0.0002998975,0.00002974075,0.0005057363,0.8865557],"genre_scores_gemma":[0.955598,0.00004627846,0.00005214103,0.0005207615,0.001203598,0.00002413595,0.00001065548,0.00001909257,0.04252537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8629355,"threshold_uncertainty_score":0.6669601,"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."}}