{"id":"W4390338165","doi":"10.3917/receo1.533.0235","title":"10.3917/receo1.533.0235","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":[0.001005994,0.00136146,0.001087422,0.00237272,0.001729182,0.005214436,0.001237183,0.003336398,0.9766248],"category_scores_gemma":[0.002715313,0.0007788453,0.000722418,0.002405819,0.001210588,0.003452596,0.00258438,0.002080966,0.9846335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002146197,"about_ca_system_score_gemma":0.001448207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008624431,"about_ca_topic_score_gemma":0.01006861,"domain_scores_codex":[0.9993267,0.00006474197,0.00005175338,0.0001949036,0.0002408059,0.000121155],"domain_scores_gemma":[0.9980206,0.0003440484,0.0001167773,0.0004298946,0.0005940132,0.0004945332],"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":[0.0001319161,0.0001622303,0.0008951,0.000219802,0.00001029349,0.000131108,0.00008370964,0.0001945602,0.0008211984,0.006410675,0.7001532,0.2907862],"study_design_scores_gemma":[0.00002859853,0.0000149894,0.0008358859,0.0001695382,0.000007359139,0.0001189007,0.00006719172,0.0001546935,0.0002233549,0.001198982,0.9971651,0.00001536694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003403789,0.0002303022,0.0004978983,0.0007528914,0.0003604298,0.00005009169,0.002004734,0.001029129,0.9947342],"genre_scores_gemma":[0.001574609,0.0002171114,0.0002947123,0.0003554053,0.00008744698,0.00002941646,0.0008438847,0.0003764974,0.996221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02337515,"threshold_uncertainty_score":0.03334177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896671589670586,"score_gpt":0.1544739795173078,"score_spread":0.1355072636206019,"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."}}