{"id":"W4365147119","doi":"10.1515/iupac.94.0703","title":"Octet Rule","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); Field (mathematics); Abandonment (legal); Computer science; Linguistics; Epistemology; Philosophy; Mathematics; Political science; Pure mathematics","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":[0.001367802,0.00363073,0.002222553,0.003795175,0.001766637,0.005026611,0.004570769,0.003340669,0.1497781],"category_scores_gemma":[0.009447671,0.00111569,0.002592856,0.004798153,0.000657118,0.004417214,0.002686942,0.003353055,0.2573588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533667,"about_ca_system_score_gemma":0.002931096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02122992,"about_ca_topic_score_gemma":0.04956787,"domain_scores_codex":[0.9976915,0.0002899116,0.0002986586,0.0008708793,0.0005416594,0.0003074718],"domain_scores_gemma":[0.9973654,0.0007425132,0.0001405824,0.001025758,0.0005351972,0.0001905871],"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":[0.00008533225,0.00002856411,0.0005256117,0.0002994423,0.0000171329,0.00003478034,0.00001090724,0.0002800537,0.0000754577,0.0006874849,0.9939089,0.00404627],"study_design_scores_gemma":[0.0001777272,0.00002946267,0.001559714,0.0002936576,0.00002259707,0.0001573905,0.00007200887,0.001996999,0.0005515621,0.005281513,0.9898098,0.00004766964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003209581,0.0001640032,0.0004223406,0.0001582665,0.0001252019,0.00006704583,0.9905267,0.003510344,0.004705066],"genre_scores_gemma":[0.0005578337,0.00007801757,0.0008523423,0.0001674365,0.000015342,0.00009736751,0.9962161,0.000382254,0.001633383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1497781,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389875981202938,"score_gpt":0.426599631995615,"score_spread":0.4027008721835856,"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."}}