{"id":"W4252802349","doi":"10.1515/iupac.73.0275","title":"Filberts","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; Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Data mining","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":[0.001439191,0.002428623,0.001821012,0.005337633,0.001295214,0.005407479,0.003372433,0.002867397,0.188061],"category_scores_gemma":[0.01340043,0.0007636684,0.001780309,0.007616011,0.0005270708,0.00375803,0.002833285,0.002120242,0.3434526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740947,"about_ca_system_score_gemma":0.003360966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122295,"about_ca_topic_score_gemma":0.02349056,"domain_scores_codex":[0.9978117,0.000350374,0.0002931856,0.0008428688,0.0003926427,0.0003091588],"domain_scores_gemma":[0.9966301,0.001023271,0.0002368117,0.001068133,0.0008240684,0.0002176717],"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":[0.00009207138,0.00001754945,0.001028997,0.001048718,0.0000364579,0.00002940607,0.00002877807,0.0002766622,0.00008342106,0.001127384,0.9893601,0.00687047],"study_design_scores_gemma":[0.000108286,0.0000135729,0.001274211,0.0004811706,0.0000277868,0.00005968979,0.00007979876,0.000394771,0.0002229648,0.003265558,0.9940528,0.00001935718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001121373,0.0001635671,0.0001683409,0.0001435912,0.00004797833,0.000014985,0.9964153,0.0009190443,0.002015098],"genre_scores_gemma":[0.0004393016,0.0001698062,0.0004758189,0.0001152222,0.00001459417,0.00006544079,0.9972681,0.0001975105,0.001254385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.188061,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546115040376016,"score_gpt":0.4187873460835538,"score_spread":0.4033261956797937,"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."}}