{"id":"W4240196445","doi":"10.1515/iupac.73.0335","title":"Hot Dog","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; Mathematics; Political science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009036814,0.001697609,0.001477039,0.004322881,0.001088578,0.003792223,0.002245802,0.002136418,0.1431187],"category_scores_gemma":[0.009499742,0.0005279786,0.001437386,0.006978319,0.0004484357,0.003371043,0.002653851,0.001774449,0.1983274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293178,"about_ca_system_score_gemma":0.002281328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408301,"about_ca_topic_score_gemma":0.02917987,"domain_scores_codex":[0.9985259,0.000233882,0.0001572237,0.0005404936,0.0003023257,0.0002400883],"domain_scores_gemma":[0.9972836,0.000778675,0.0003074466,0.000655364,0.000693346,0.0002816257],"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":[0.00008197305,0.00001264075,0.001464553,0.0007117278,0.00002860043,0.00002764645,0.00002139223,0.0001581494,0.00005268477,0.0008067855,0.9908021,0.005831789],"study_design_scores_gemma":[0.00006698138,0.00001308427,0.00296522,0.0004682895,0.00002670015,0.00009536329,0.00007650564,0.0002076397,0.000135077,0.001820402,0.9941071,0.00001754106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002557955,0.0004605214,0.0001745823,0.0003021778,0.0001343804,0.0000161982,0.9946519,0.0004966478,0.003507765],"genre_scores_gemma":[0.0008957483,0.0003788607,0.0003644427,0.0002898776,0.00004070942,0.0000563927,0.995465,0.0001569543,0.002352134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1431187,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748611700739565,"score_gpt":0.4254177953916386,"score_spread":0.4079316783842429,"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."}}