{"id":"W4365149396","doi":"10.1515/iupac.94.0606","title":"Kamlet–Taft Solvent Parameters","year":2023,"lang":"kn","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Chemistry; Epistemology; Computer science; Philosophy; Linguistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001765548,0.0018696,0.002155453,0.0003510119,0.0005530036,0.000633719,0.003068964,0.002300514,0.008807029],"category_scores_gemma":[0.005552634,0.001999369,0.001124573,0.0009613057,0.0008378084,0.0001635828,0.002030078,0.005037311,0.0004685407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003370614,"about_ca_system_score_gemma":0.004338714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239095,"about_ca_topic_score_gemma":0.001348298,"domain_scores_codex":[0.9869488,0.0002089867,0.001944775,0.002476279,0.005605822,0.002815345],"domain_scores_gemma":[0.991246,0.0007973702,0.0008951461,0.004335247,0.001327576,0.001398637],"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":[0.0004418594,0.001106737,0.0001028486,0.004146025,0.00135492,0.002423941,0.00007574586,0.00008146809,0.001401594,0.000006219137,0.9864462,0.002412469],"study_design_scores_gemma":[0.002447817,0.0002642392,0.0000175466,0.001866898,0.0005531528,0.00009899431,0.0004138899,0.000293818,0.005236343,0.0002340741,0.9867334,0.001839836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005689058,0.001206325,0.00005580039,0.002552178,0.001290191,0.000589551,0.9875922,0.0005230914,0.0005015979],"genre_scores_gemma":[0.0001751641,0.004543121,0.0002729094,0.000252622,0.002607193,0.0001178112,0.9705175,0.0004112804,0.02110236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02060076,"threshold_uncertainty_score":0.9994048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208624995896756,"score_gpt":0.4258583649612508,"score_spread":0.3937721150022832,"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."}}