{"id":"W4406644006","doi":"10.1016/b978-84-9022-657-5.00100-3","title":"10.1016/b978-84-9022-657-5.00100-3","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":[0.00120231,0.002123033,0.001606093,0.002024205,0.001323648,0.005735313,0.002935559,0.004610143,0.9798621],"category_scores_gemma":[0.002426885,0.0009351398,0.0008589404,0.002561332,0.00134766,0.00620384,0.003207105,0.002566477,0.990011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176616,"about_ca_system_score_gemma":0.0009884561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003380112,"about_ca_topic_score_gemma":0.003090428,"domain_scores_codex":[0.9993955,0.00004548781,0.00004431995,0.0002222586,0.0001964095,0.00009600949],"domain_scores_gemma":[0.9978011,0.0007515241,0.0001758224,0.0003554888,0.0003982303,0.0005178577],"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":[0.0001186892,0.0001115103,0.0003974481,0.0003808718,0.00001687735,0.00009766917,0.00006930935,0.0004542168,0.001647756,0.007304535,0.3940943,0.5953068],"study_design_scores_gemma":[0.00002006068,0.00004007897,0.0004909155,0.0002749641,0.000009139494,0.0001780983,0.00007279796,0.0002273694,0.0003466982,0.001827178,0.9964975,0.00001522792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002083568,0.000545979,0.001768501,0.000440104,0.0001808411,0.00005844601,0.00128127,0.001551331,0.9939652],"genre_scores_gemma":[0.0007655878,0.0003226759,0.000597185,0.0001455566,0.00004839389,0.00004185374,0.0006687562,0.0003409733,0.9970691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02013791,"threshold_uncertainty_score":0.02872419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243762343546933,"score_gpt":0.1544836231354059,"score_spread":0.1320459996999366,"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."}}