{"id":"W2463889084","doi":"10.1016/s0197-2510(09)70013-0","title":"10.1016/s0197-2510(09)70013-0","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001152983,0.002419247,0.001810043,0.002876679,0.002146737,0.004326982,0.003408665,0.006312896,0.9894606],"category_scores_gemma":[0.002386249,0.001030625,0.001349015,0.003140115,0.001970143,0.006015324,0.003193099,0.002727284,0.9935098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364466,"about_ca_system_score_gemma":0.001671159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005214829,"about_ca_topic_score_gemma":0.003971055,"domain_scores_codex":[0.9992359,0.00006384857,0.000062785,0.0002665305,0.0002078697,0.0001631107],"domain_scores_gemma":[0.9978921,0.0005225489,0.0001549201,0.0003004844,0.00041649,0.0007135153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002559528,0.0002000554,0.0009822516,0.000457053,0.00003146333,0.0002104015,0.00009741082,0.0004668132,0.001302449,0.007558163,0.3986522,0.5897857],"study_design_scores_gemma":[0.00004361194,0.00008131025,0.0006811452,0.0002994867,0.00001204621,0.0002419061,0.0001248546,0.0002717171,0.0002642204,0.0009222145,0.9970354,0.00002216212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000360879,0.0003049537,0.0006919249,0.0004726589,0.0002715405,0.00008528941,0.0009336026,0.0009764099,0.9959027],"genre_scores_gemma":[0.0006032633,0.000151954,0.0003640834,0.0002189612,0.00005119455,0.00004967642,0.0004772569,0.0001656544,0.9979181],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01053935,"threshold_uncertainty_score":0.01503313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167961412517142,"score_gpt":0.1516141876628483,"score_spread":0.1348180464111341,"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."}}