{"id":"W4235223198","doi":"10.1037/e505342010-001","title":"A Step Ahead, Third Quarter 2009","year":2009,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; Geography; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001232096,0.002247588,0.001303606,0.00297726,0.0009515755,0.002441148,0.002302107,0.002099141,0.03831189],"category_scores_gemma":[0.006967157,0.0007017556,0.001753625,0.005346906,0.0004591411,0.001812815,0.00165122,0.002062833,0.08902983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630544,"about_ca_system_score_gemma":0.003636159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07197952,"about_ca_topic_score_gemma":0.1322534,"domain_scores_codex":[0.9988424,0.000148975,0.0001299237,0.0003411856,0.0003191187,0.0002184274],"domain_scores_gemma":[0.9976147,0.0003625614,0.0001599814,0.0007792846,0.0008388776,0.0002445656],"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":[0.00006416174,0.00001977532,0.0003989525,0.00009788445,0.00001602982,0.0000120063,0.000006326428,0.000217075,0.00006864408,0.0001285543,0.9971498,0.00182095],"study_design_scores_gemma":[0.0005158167,0.00006011654,0.01224189,0.0002265514,0.00006974825,0.0001025144,0.0001665884,0.002854744,0.00106581,0.001668084,0.9809626,0.00006537385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004023459,0.00008813266,0.00007566129,0.0001959079,0.0001001679,0.00001123163,0.9977478,0.0006531527,0.0007255159],"genre_scores_gemma":[0.0005650442,0.00005743639,0.0002962266,0.00005849102,0.00001368927,0.00002695954,0.9976074,0.00007953769,0.001295306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9616881,"threshold_uncertainty_score":0.1431211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286750940628044,"score_gpt":0.3109154195760784,"score_spread":0.288047910169798,"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."}}