{"id":"W4406647060","doi":"10.1016/b978-84-8086-447-3.00053-9","title":"10.1016/b978-84-8086-447-3.00053-9","year":2000,"lang":"en","type":"book-chapter","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":[0.001110696,0.002427586,0.0016704,0.002060517,0.001327785,0.005377292,0.002857808,0.004647328,0.9808263],"category_scores_gemma":[0.002173166,0.0009730583,0.0008971876,0.00251051,0.001312046,0.006015672,0.003211657,0.002656446,0.9906405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108755,"about_ca_system_score_gemma":0.0009306011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003371457,"about_ca_topic_score_gemma":0.002986362,"domain_scores_codex":[0.9994003,0.00004407153,0.00004528835,0.0002163009,0.0001868279,0.0001073299],"domain_scores_gemma":[0.9979092,0.0007439642,0.0001728628,0.0003212654,0.0003542464,0.000498396],"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":[0.0001189162,0.0001280031,0.0004131424,0.0003979341,0.0000173686,0.000101987,0.00007428983,0.0004532336,0.001600823,0.006333739,0.3838851,0.6064754],"study_design_scores_gemma":[0.00002085275,0.00004463699,0.000607487,0.0003254028,0.00001024385,0.0002004039,0.00008633587,0.0002236987,0.0003468967,0.001859262,0.9962584,0.00001644175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002160367,0.0005688915,0.001524447,0.0003968285,0.000187732,0.00005644559,0.001211957,0.001443682,0.9943939],"genre_scores_gemma":[0.0006984813,0.0003362167,0.0005454052,0.0001480669,0.00004622629,0.00004404428,0.000660172,0.0002932584,0.9972281],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01917374,"threshold_uncertainty_score":0.02734894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230405687307508,"score_gpt":0.1542215041739993,"score_spread":0.1319174473009242,"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."}}