{"id":"W4365142215","doi":"10.1515/iupac.94.0267","title":"Α (Alpha)","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Epistemology; Computer science; Linguistics; Philosophy; Political science","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":[0.002104671,0.002524068,0.001283134,0.004465954,0.001565168,0.003980461,0.00177513,0.001328902,0.1829948],"category_scores_gemma":[0.02050405,0.0007249021,0.001850437,0.005978765,0.0005483013,0.003198755,0.001673645,0.002792206,0.3181248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287667,"about_ca_system_score_gemma":0.001602266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115598,"about_ca_topic_score_gemma":0.02109865,"domain_scores_codex":[0.9974705,0.0004213552,0.0004223187,0.0009210618,0.0004561537,0.0003085906],"domain_scores_gemma":[0.9931444,0.00208226,0.0004140325,0.002035564,0.002040142,0.000283674],"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":[0.00009576508,0.00002134704,0.001808332,0.0003857482,0.00003052612,0.00001843328,0.00002570435,0.00009434217,0.0001280651,0.0004237088,0.9869549,0.01001324],"study_design_scores_gemma":[0.0001834007,0.00004237206,0.01050912,0.0004645056,0.00005920927,0.0001900654,0.0001743402,0.0005681055,0.0004887405,0.004075721,0.9831912,0.00005325987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001019649,0.000548846,0.0006028753,0.0003285668,0.000457066,0.000075,0.9867266,0.001589325,0.008652117],"genre_scores_gemma":[0.00214655,0.0004419764,0.001589668,0.0003196026,0.0001239552,0.0002397649,0.9884421,0.0004032352,0.006293075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1829948,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609711403544271,"score_gpt":0.4360974573889747,"score_spread":0.410000343353532,"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."}}