{"id":"W4390338201","doi":"10.3917/pe.232.0220","title":"10.3917/pe.232.0220","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":"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":[0.0008225396,0.001518794,0.000796163,0.002118769,0.001454618,0.005336767,0.001055982,0.002901525,0.9676134],"category_scores_gemma":[0.002856252,0.0007236773,0.0006110508,0.002114104,0.001483467,0.004402524,0.0026206,0.001932863,0.9753838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603036,"about_ca_system_score_gemma":0.001500874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003575692,"about_ca_topic_score_gemma":0.004009903,"domain_scores_codex":[0.9994943,0.00005024143,0.00003688728,0.0001541765,0.0001744339,0.00008988668],"domain_scores_gemma":[0.9983448,0.0002743295,0.0001026901,0.0003516297,0.0005080728,0.0004184578],"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":[0.0001505703,0.0001594659,0.00091177,0.0002333977,0.00001350249,0.0001644563,0.00005776054,0.0002788301,0.0008118887,0.01290041,0.6392852,0.3450328],"study_design_scores_gemma":[0.00003113378,0.0000242991,0.001105701,0.0002300431,0.00001177157,0.0002553665,0.000079972,0.0002977155,0.0004026788,0.005208455,0.9923335,0.00001925598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004365135,0.0003916523,0.001003669,0.001327772,0.0006064101,0.00004846774,0.001680292,0.0008297106,0.9936755],"genre_scores_gemma":[0.002382336,0.0003054938,0.0003083805,0.0004292902,0.0001250386,0.00003045229,0.000695415,0.0002230518,0.9955004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0323866,"threshold_uncertainty_score":0.04619557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929664887752648,"score_gpt":0.1555401173338643,"score_spread":0.1362434684563378,"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."}}