{"id":"W4365147992","doi":"10.1515/iupac.94.0239","title":"Amphiphilic","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; Chemistry; 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":[0.0007636041,0.002260118,0.001491797,0.002911856,0.001210854,0.00219495,0.002143955,0.001838201,0.06341675],"category_scores_gemma":[0.002910725,0.0006408521,0.001342305,0.004285401,0.0004395273,0.001820774,0.002070898,0.00244969,0.1223135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334197,"about_ca_system_score_gemma":0.001765148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642255,"about_ca_topic_score_gemma":0.03730267,"domain_scores_codex":[0.9992077,0.0001158005,0.0001008425,0.0002366413,0.0002169558,0.000122117],"domain_scores_gemma":[0.9989437,0.0002798367,0.0001440472,0.0002979463,0.0002305963,0.0001038191],"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":[0.0001647083,0.00005811396,0.0008079355,0.0017015,0.00003112159,0.00004559556,0.00003151296,0.0003109375,0.001080653,0.0008662185,0.9868734,0.008028202],"study_design_scores_gemma":[0.0001673345,0.00004932526,0.005229385,0.0004702776,0.00004023726,0.0001552271,0.00007914475,0.0005694219,0.001379667,0.00185582,0.9899523,0.00005177467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004413546,0.0003811284,0.0001642059,0.00007033465,0.00004184605,0.00002715949,0.9965768,0.0005592293,0.001737852],"genre_scores_gemma":[0.0003813319,0.0001812559,0.000413463,0.0000788382,0.000005321551,0.00007906047,0.9979362,0.00005643498,0.0008680917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06341675,"threshold_uncertainty_score":0.2121502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666757043719352,"score_gpt":0.4300431255380189,"score_spread":0.4033755551008254,"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."}}