{"id":"W2917247877","doi":"10.1071/pvv2013n165toc","title":"Preview Number 165","year":2013,"lang":"en","type":"article","venue":"Preview","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001061111,0.001437004,0.001656703,0.004836332,0.001539791,0.006289157,0.001683173,0.002893455,0.8698905],"category_scores_gemma":[0.00604788,0.0006009461,0.0007497289,0.002553565,0.0004327575,0.002905875,0.002432405,0.001832959,0.7953354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009889831,"about_ca_system_score_gemma":0.001834346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713599,"about_ca_topic_score_gemma":0.006607185,"domain_scores_codex":[0.9991599,0.00007540931,0.00003648817,0.00009911365,0.0005023096,0.000126873],"domain_scores_gemma":[0.9960104,0.0004941664,0.0001753308,0.0002575481,0.001962941,0.001099544],"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":[0.0000321002,0.00001610234,0.00002555566,0.0001078765,0.000001212051,0.00001665684,0.000006355981,0.00001677381,0.00008224988,0.0003224214,0.9813486,0.01802418],"study_design_scores_gemma":[0.00002866322,0.00002140267,0.0002602944,0.0001315396,0.00000317769,0.00001943852,0.00002387201,0.00005824022,0.00008488962,0.0004824445,0.9988784,0.000007698746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005967852,0.003051184,0.001035116,0.00501546,0.03784999,0.0006589862,0.01494766,0.003918528,0.9329262],"genre_scores_gemma":[0.000928988,0.0005259874,0.0001629916,0.001370874,0.003423206,0.0001061073,0.002961001,0.0005053637,0.9900153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8698905,"threshold_uncertainty_score":0.1855854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0603480759622011,"score_gpt":0.2262519466557914,"score_spread":0.1659038706935903,"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."}}