{"id":"W4365147850","doi":"10.1515/iupac.94.0546","title":"Hydronation","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":[0.0007574669,0.002855028,0.001896213,0.002552182,0.001230669,0.002545046,0.002977472,0.001814308,0.07993433],"category_scores_gemma":[0.002700464,0.0006516547,0.00188756,0.003298507,0.0005146671,0.002213115,0.002195698,0.001817636,0.1459053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227943,"about_ca_system_score_gemma":0.001823036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01735718,"about_ca_topic_score_gemma":0.0441131,"domain_scores_codex":[0.9990264,0.0001267767,0.0001174261,0.0003638951,0.0002395861,0.0001258173],"domain_scores_gemma":[0.9990576,0.0001967644,0.0001071153,0.0003353182,0.0002179058,0.00008532574],"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":[0.0002826495,0.00004259766,0.001370451,0.001723283,0.00005029668,0.00005263612,0.00003374515,0.0004908568,0.001167114,0.0008518752,0.9838479,0.01008657],"study_design_scores_gemma":[0.0001903108,0.00004490893,0.004942629,0.0003847367,0.00005122122,0.0001317646,0.00007568989,0.0006110052,0.001806131,0.002222894,0.9894738,0.00006494332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005798613,0.0004157563,0.0002235264,0.00007725234,0.00006978303,0.00002995808,0.9946197,0.001182143,0.002802024],"genre_scores_gemma":[0.0005703896,0.000177961,0.0005118747,0.00007902062,0.000008239213,0.00006272167,0.9973106,0.0001214706,0.001157688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07993433,"threshold_uncertainty_score":0.2674069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361573800616438,"score_gpt":0.4299296764907558,"score_spread":0.4063139384845914,"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."}}