{"id":"W4229603295","doi":"10.1515/iupac.73.0554","title":"Ps","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Chemistry; Food science; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Data mining; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009674965,0.001949651,0.001455093,0.004031482,0.0009763332,0.004333495,0.002420558,0.00190992,0.2186214],"category_scores_gemma":[0.009252566,0.000658555,0.001245034,0.007336233,0.0003987442,0.002872084,0.003022127,0.001632177,0.358023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475507,"about_ca_system_score_gemma":0.002893905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854962,"about_ca_topic_score_gemma":0.02313861,"domain_scores_codex":[0.9981272,0.0002654417,0.000232678,0.0007637852,0.0003710968,0.0002397293],"domain_scores_gemma":[0.9969876,0.0005602014,0.0002910557,0.00087241,0.001027029,0.0002617714],"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":[0.0001125913,0.00001431271,0.001555412,0.001000632,0.00003499597,0.00002493586,0.00002926115,0.0001613795,0.0001359991,0.001036101,0.9869457,0.008948782],"study_design_scores_gemma":[0.00007288333,0.00001223207,0.002353298,0.0004215334,0.00001959493,0.00005513087,0.00005336521,0.000166857,0.0002015467,0.001479086,0.9951488,0.00001571269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009683304,0.0001109881,0.0001179323,0.00008909089,0.00003936837,0.00001327275,0.9971477,0.0004107281,0.001974111],"genre_scores_gemma":[0.0003772881,0.0001343221,0.0002156463,0.00009124309,0.00001443454,0.00004398448,0.9974747,0.0001015433,0.00154673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7813786,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712522398332271,"score_gpt":0.4308315282134945,"score_spread":0.4137063042301717,"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."}}