{"id":"W4230614138","doi":"10.1515/iupac.78.0349","title":"Half-Life","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Pesticide; Computer science; Management science; Chemistry; Engineering; Ecology; Biology; Data mining; Linguistics","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":[0.00131094,0.001500942,0.001741993,0.004923697,0.0006261085,0.002429518,0.002103673,0.001255495,0.1034922],"category_scores_gemma":[0.009864898,0.0005323886,0.001877676,0.008125132,0.0003306696,0.002316866,0.00123763,0.001836757,0.07322257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844622,"about_ca_system_score_gemma":0.00207177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007624,"about_ca_topic_score_gemma":0.02534067,"domain_scores_codex":[0.9983974,0.0001775882,0.0004421075,0.0005215051,0.0003570917,0.00010432],"domain_scores_gemma":[0.9950392,0.001697897,0.001110415,0.0007018063,0.001273334,0.0001773311],"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":[0.0003071525,0.0000375108,0.004434071,0.005361796,0.0001446899,0.00004756498,0.00006046623,0.0004022745,0.0003840218,0.001473357,0.9714183,0.01592877],"study_design_scores_gemma":[0.0001636965,0.00003504281,0.01112154,0.001213694,0.0001107731,0.0001522973,0.00007460374,0.0001877819,0.0003332709,0.00187505,0.9846888,0.00004343521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001982206,0.0003633818,0.0000857808,0.00005103945,0.00002213006,0.00001390422,0.998322,0.00008291515,0.0008605969],"genre_scores_gemma":[0.001187411,0.0005700735,0.0004000971,0.0001403724,0.00001615231,0.0001399333,0.9962321,0.00007016623,0.00124369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1034922,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110784473021172,"score_gpt":0.4242982422330018,"score_spread":0.4031903975027901,"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."}}