{"id":"W7096569112","doi":"","title":"Canadian Microdata 1","year":2004,"lang":"en","type":"article","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107542,0.00004432313,0.00004306386,0.00005263909,0.00005021011,0.00006674841,0.0005246913,0.00002617034,0.00002823248],"category_scores_gemma":[0.000005599869,0.00003637534,0.00001740031,0.0001300423,0.0000064563,0.0001708246,0.00005225792,0.0000428098,0.0001378435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005935016,"about_ca_system_score_gemma":0.000253989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09851089,"about_ca_topic_score_gemma":0.1053137,"domain_scores_codex":[0.9995561,0.00001002627,0.00005051698,0.0001586224,0.00004613597,0.0001785977],"domain_scores_gemma":[0.9994202,0.000004859789,0.000006779974,0.000380398,0.00001472225,0.0001730239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[7.888409e-8,0.000003197099,0.00000767866,5.1365e-7,0.000001360728,0.00001318068,0.00007050225,0.000002129695,0.0002513039,0.946525,0.001971597,0.05115344],"study_design_scores_gemma":[0.0003202591,0.00002749519,0.0006557147,0.000008125202,0.000002096403,0.00008192096,0.000003632085,0.0009788007,0.01299861,0.8761813,0.1084715,0.0002705198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002202016,0.00003639574,0.932461,0.007370766,0.0001278877,0.00003092394,9.980552e-7,0.0000524159,0.05969947],"genre_scores_gemma":[0.07368989,0.000002801873,0.9219541,0.003178509,0.00002344769,0.000001143174,6.670248e-7,0.000002337282,0.001147106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1064999,"threshold_uncertainty_score":0.911012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112517255695759,"score_gpt":0.2355703716253553,"score_spread":0.2244451990683977,"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."}}