{"id":"W4365149362","doi":"10.1515/iupac.94.0617","title":"Laurence Solvent Parameters","year":2023,"lang":"kn","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); Field (mathematics); Computer science; Epistemology; Linguistics; Philosophy; Mathematics; 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":[0.001397374,0.003434008,0.002231629,0.003789362,0.001557282,0.003424378,0.004759246,0.002136228,0.1012703],"category_scores_gemma":[0.005745712,0.0009402632,0.001964156,0.004885389,0.0005835167,0.003610756,0.00251995,0.00307018,0.2342266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948239,"about_ca_system_score_gemma":0.002802288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02378248,"about_ca_topic_score_gemma":0.06752791,"domain_scores_codex":[0.9983938,0.0002221191,0.0001876811,0.0005430533,0.000453454,0.0001997752],"domain_scores_gemma":[0.9979838,0.0003751826,0.0001457349,0.0008112544,0.0005449572,0.0001389899],"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":[0.00007980786,0.00003418296,0.0004386104,0.0004943433,0.00001902463,0.00001857921,0.00001272334,0.0003860185,0.0002483478,0.0005530061,0.9902741,0.007441266],"study_design_scores_gemma":[0.000150542,0.00003069047,0.001815869,0.000285397,0.00002580909,0.00008560398,0.00005186591,0.001488352,0.001091769,0.002300964,0.9926205,0.00005264487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004673275,0.0005532424,0.0007550739,0.0001445288,0.0001668654,0.00006711326,0.9879426,0.004650403,0.005252859],"genre_scores_gemma":[0.0006527003,0.0001956792,0.001341918,0.0001054217,0.00001844082,0.0001157099,0.9949887,0.0003338377,0.002247446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1012703,"threshold_uncertainty_score":0.338783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03398948572187575,"score_gpt":0.4256956967124107,"score_spread":0.3917062109905349,"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."}}