{"id":"W6983722902","doi":"","title":"Ninth Annual General Meeting: summary of lectures / Association for Coordinate Metrology Canada","year":2003,"lang":"en","type":"book","venue":"NPARC","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ninth; Association (psychology); Metrology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001050051,0.001161585,0.001090874,0.001370628,0.002895491,0.003468007,0.001483006,0.002625677,0.2242527],"category_scores_gemma":[0.0009696235,0.000571016,0.0005875763,0.001275907,0.0005869707,0.001030647,0.0009733453,0.002220059,0.1343943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007672483,"about_ca_system_score_gemma":0.01514611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2866489,"about_ca_topic_score_gemma":0.6714282,"domain_scores_codex":[0.9993809,0.00002967724,0.00001502728,0.0001055106,0.0003469413,0.0001218979],"domain_scores_gemma":[0.9985482,0.000034474,0.00002261455,0.00004852251,0.001046477,0.0002997503],"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":[0.00004013038,0.00002794172,0.0001355031,0.00003416941,0.000002206464,0.00001821212,0.00001109768,0.00008465815,0.0003126289,0.0004203766,0.9797255,0.01918755],"study_design_scores_gemma":[0.00001187359,0.00002646725,0.001326441,0.00004084051,0.000005572494,0.00002205394,0.00004880269,0.0002308947,0.0003056298,0.0003888347,0.9975824,0.00001017469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004790449,0.01848152,0.00718111,0.03722455,0.07005151,0.0007241551,0.01400947,0.002633131,0.8449041],"genre_scores_gemma":[0.001788445,0.00125589,0.0006264604,0.0003872002,0.0008201849,0.00002497909,0.001057405,0.0001511032,0.9938883],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7133511,"threshold_uncertainty_score":0.7502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08008811276492826,"score_gpt":0.3367644176152986,"score_spread":0.2566763048503703,"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."}}