{"id":"W4365147809","doi":"10.1515/iupac.94.0751","title":"Promotion","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); Promotion (chess); Field (mathematics); Epistemology; Computer science; Linguistics; Political science; Philosophy; Mathematics; Law","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":[0.00107829,0.00224401,0.001330327,0.003875487,0.001509015,0.003734143,0.002577759,0.0017213,0.2106393],"category_scores_gemma":[0.006143324,0.0006408552,0.001664009,0.0054495,0.0004074567,0.003815623,0.002883512,0.002361552,0.3887195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462028,"about_ca_system_score_gemma":0.002246464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02444923,"about_ca_topic_score_gemma":0.05192583,"domain_scores_codex":[0.9984698,0.0002341744,0.0001476564,0.0005108102,0.0003786221,0.0002589119],"domain_scores_gemma":[0.9973973,0.0004740436,0.0002120138,0.0008793558,0.0007694714,0.0002677684],"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":[0.00003132082,0.00001223994,0.0003785284,0.0002145521,0.000006678267,0.000009122748,0.00001330869,0.00004782947,0.00006375677,0.0004246182,0.9954535,0.003344547],"study_design_scores_gemma":[0.00005401273,0.000009986102,0.0020212,0.0001753564,0.000009000112,0.00004268661,0.00007861939,0.0001716452,0.0001534646,0.0009291029,0.9963382,0.00001668695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001949042,0.0001719209,0.0001439051,0.0001530569,0.0001276393,0.00002435401,0.9927593,0.0009058471,0.005519012],"genre_scores_gemma":[0.0003341111,0.0001252557,0.0003485945,0.0001466738,0.00002319548,0.00006217314,0.9949806,0.0001805816,0.003798803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2106393,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321915565961961,"score_gpt":0.4375297278164709,"score_spread":0.4053381712202748,"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."}}