{"id":"W4252729470","doi":"10.1515/iupac.79.1533","title":"Lesion","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Linguistics; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001494425,0.001732699,0.001438813,0.003373624,0.0009449966,0.0032995,0.00279844,0.00185364,0.1597012],"category_scores_gemma":[0.01261126,0.0005319194,0.001875913,0.005207774,0.0003331307,0.002245094,0.001921889,0.001752701,0.2022129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617819,"about_ca_system_score_gemma":0.003093392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01634418,"about_ca_topic_score_gemma":0.03284806,"domain_scores_codex":[0.9976842,0.0003873211,0.0003669429,0.0008605932,0.0004483515,0.0002525382],"domain_scores_gemma":[0.9956467,0.001061032,0.0004403862,0.001137792,0.001401424,0.0003128219],"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":[0.0001293523,0.00002131649,0.001543121,0.0008762918,0.00004723274,0.00001953519,0.00001820103,0.0001573266,0.00007817252,0.0006329351,0.9899678,0.006508671],"study_design_scores_gemma":[0.0002101394,0.0000228497,0.003577784,0.000567047,0.00005118205,0.00007769162,0.0000716193,0.0002519935,0.0002115713,0.001560718,0.9933718,0.00002555173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001169514,0.0001092132,0.00009112083,0.00008951047,0.00003923224,0.0000236829,0.9978258,0.0002443525,0.001460103],"genre_scores_gemma":[0.0003544806,0.00008327777,0.0002921743,0.000133677,0.00001223793,0.000106867,0.9977317,0.00005868114,0.001226851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8402988,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008404936969294738,"score_gpt":0.3391892002194086,"score_spread":0.3307842632501138,"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."}}