{"id":"W6945850786","doi":"10.25545/glkhd9/xmwcgk","title":"Coolant_Temp_Coefs.png","year":2024,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.00159886,0.006480172,0.002478421,0.004252224,0.00167229,0.005352819,0.005466666,0.003907486,0.2615563],"category_scores_gemma":[0.00845997,0.002175941,0.002879817,0.005472165,0.001062546,0.003570387,0.003772369,0.002808299,0.3525103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938556,"about_ca_system_score_gemma":0.002071021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01725006,"about_ca_topic_score_gemma":0.02916019,"domain_scores_codex":[0.9983467,0.0002629901,0.0001129873,0.0006920368,0.0003347263,0.0002505342],"domain_scores_gemma":[0.9975401,0.0007664918,0.0001011816,0.0009180545,0.000484748,0.0001894472],"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":[0.00007976167,0.00001867361,0.0001880396,0.0005234047,0.00003119942,0.00001290918,0.00002273734,0.000242321,0.0001951225,0.000346587,0.9959662,0.002372935],"study_design_scores_gemma":[0.0003267463,0.00004090872,0.001077717,0.0002177569,0.00003343355,0.00005994686,0.00006698348,0.001212655,0.001860515,0.002316068,0.9927258,0.00006135564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002151376,0.0001971478,0.0004112885,0.0001469548,0.0001495688,0.00003101368,0.9854344,0.01082187,0.00259264],"genre_scores_gemma":[0.0008017095,0.0001112068,0.001119516,0.000135892,0.00002799738,0.0001421825,0.9928778,0.0026908,0.00209285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2615563,"threshold_uncertainty_score":0.874993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992244430500477,"score_gpt":0.2769690163225242,"score_spread":0.2570465720175195,"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."}}