{"id":"W4365147351","doi":"10.1515/iupac.94.0578","title":"Ipso Attack","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; Abandonment (legal); Meaning (existential); Field (mathematics); Computer science; Epistemology; Linguistics; Philosophy; Political science; Mathematics; Law","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":[0.001445776,0.004236837,0.002238954,0.003763148,0.001657359,0.003761256,0.004285031,0.00279576,0.07983615],"category_scores_gemma":[0.005602952,0.0007305124,0.00225976,0.003989374,0.0006289797,0.003481465,0.0033555,0.003160872,0.2190661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467292,"about_ca_system_score_gemma":0.002192363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466505,"about_ca_topic_score_gemma":0.0320622,"domain_scores_codex":[0.9981548,0.0003080291,0.0001826035,0.000570646,0.0004605973,0.0003232411],"domain_scores_gemma":[0.9980552,0.000341513,0.0001559775,0.0008333501,0.0004034536,0.0002105388],"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":[0.00009142733,0.00002975398,0.0003805217,0.000298298,0.00002120178,0.00001926843,0.000011981,0.0002233188,0.00008740796,0.0004851138,0.9951053,0.003246431],"study_design_scores_gemma":[0.0002689422,0.00005809266,0.002701977,0.0003278677,0.00003971221,0.0001764602,0.00009478199,0.001527607,0.0007156397,0.003000933,0.9910398,0.00004820885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004842564,0.0003268326,0.0002514964,0.0001946962,0.0001901457,0.00005134254,0.9910514,0.002898688,0.00455101],"genre_scores_gemma":[0.000485366,0.00009849413,0.0003678107,0.00009868414,0.00002178406,0.00006443412,0.997376,0.0001586157,0.001328829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07983615,"threshold_uncertainty_score":0.2670786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03868329715458323,"score_gpt":0.4536429641183278,"score_spread":0.4149596669637445,"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."}}