{"id":"W4365149531","doi":"10.1515/iupac.94.0384","title":"Cybotactic Region","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); 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":[0.0007753529,0.001891287,0.00139424,0.00300424,0.001349625,0.003163398,0.002211597,0.001416461,0.190332],"category_scores_gemma":[0.004036035,0.0004381471,0.001043759,0.004532879,0.0005149011,0.002232098,0.002385972,0.002150039,0.3472621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561821,"about_ca_system_score_gemma":0.002280317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02643392,"about_ca_topic_score_gemma":0.05413508,"domain_scores_codex":[0.9992387,0.0001329222,0.00006790076,0.0002924164,0.0001369388,0.0001310676],"domain_scores_gemma":[0.9985832,0.0003257263,0.0001270763,0.0003782796,0.0003855338,0.0002000606],"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":[0.00004877501,0.000007687659,0.0002272214,0.0002426564,0.000005017409,0.00001327317,0.00001598808,0.00004838519,0.00009367942,0.0004283726,0.9966828,0.002186167],"study_design_scores_gemma":[0.00005811085,0.000009748963,0.001622203,0.0001586808,0.000005556408,0.00003453151,0.00006295644,0.0001565691,0.0001650463,0.0007498293,0.996962,0.00001480447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001853548,0.0001404448,0.0001193291,0.00009700532,0.00007546437,0.00002405497,0.9940999,0.0008330244,0.004425331],"genre_scores_gemma":[0.0003334215,0.00007829274,0.0002742815,0.00009222359,0.00001711657,0.00007239451,0.9965323,0.0001524225,0.002447431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.190332,"threshold_uncertainty_score":0.6367241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325187967088434,"score_gpt":0.4293227920889434,"score_spread":0.3968039953801,"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."}}