{"id":"W6977290620","doi":"10.6084/m9.figshare.5705479.v1","title":"Upper Quarter Y Balance Test","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Test (biology); Reliability (semiconductor); Balance test; Balance (ability)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001752867,0.001780425,0.001422008,0.002849914,0.0005383765,0.001515794,0.002277776,0.002123798,0.03514801],"category_scores_gemma":[0.01661022,0.0003715694,0.001598114,0.003168208,0.0004285938,0.000912612,0.00173095,0.001472041,0.03678212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008373106,"about_ca_system_score_gemma":0.001464613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688459,"about_ca_topic_score_gemma":0.02418244,"domain_scores_codex":[0.9984798,0.0002931176,0.0002271683,0.0004653706,0.0003881659,0.0001463911],"domain_scores_gemma":[0.9955427,0.001254705,0.0006197812,0.0008224007,0.001543338,0.0002171522],"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":[0.0007600078,0.0001302499,0.03111284,0.000735048,0.0003040926,0.00007565644,0.00004108488,0.00125395,0.0001437473,0.0005479745,0.9493746,0.0155209],"study_design_scores_gemma":[0.001730779,0.0003139728,0.2574031,0.001586226,0.0006361519,0.0007691802,0.0003322819,0.005947119,0.001085917,0.005283074,0.7246764,0.0002358042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003868932,0.0002395832,0.0003246362,0.0001120715,0.00006494167,0.00004544936,0.9930748,0.0003204394,0.001949151],"genre_scores_gemma":[0.00652762,0.0001005477,0.0003650953,0.00007861388,0.0000250331,0.0002362336,0.9912048,0.00008135283,0.001380675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03514801,"threshold_uncertainty_score":0.1175818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145320857892073,"score_gpt":0.225246451325673,"score_spread":0.2137932427467522,"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."}}