{"id":"W4242470295","doi":"10.1515/iupac.73.0107","title":"Calorimetry","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","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; 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":[0.00067872,0.002058435,0.001533008,0.002784974,0.0005452106,0.001757435,0.00232341,0.001404152,0.05838142],"category_scores_gemma":[0.004517253,0.0005035119,0.001362951,0.006460946,0.0003009502,0.001190831,0.001145076,0.001442351,0.082495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000795733,"about_ca_system_score_gemma":0.0009387853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591578,"about_ca_topic_score_gemma":0.0220701,"domain_scores_codex":[0.9991257,0.00009818575,0.0001055829,0.0003649818,0.0002343881,0.0000712882],"domain_scores_gemma":[0.998626,0.0003191935,0.000176264,0.0003039458,0.0005124789,0.00006212008],"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":[0.0004532789,0.000102225,0.01351229,0.003231985,0.0002300761,0.00006673927,0.00007523696,0.002660247,0.0005808467,0.001624365,0.9362036,0.04125911],"study_design_scores_gemma":[0.0002362536,0.00004330543,0.02770677,0.0006385398,0.00009628019,0.0001372203,0.0001278424,0.00176298,0.001120765,0.003199817,0.9648499,0.00008042777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009422132,0.000287196,0.0003936065,0.00004936434,0.00004091749,0.00003021394,0.994918,0.0007349264,0.00260359],"genre_scores_gemma":[0.002607398,0.000345452,0.001112804,0.00007863943,0.00001836086,0.0001623896,0.9933063,0.000131917,0.002236655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05838142,"threshold_uncertainty_score":0.1953053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009079808531557758,"score_gpt":0.3527905823995077,"score_spread":0.34371077386795,"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."}}