{"id":"W4406669737","doi":"10.1016/b978-0-08-093827-1.50016-8","title":"10.1016/b978-0-08-093827-1.50016-8","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":[0.001240637,0.001953119,0.001486609,0.001803307,0.001216255,0.005714389,0.002936364,0.004316509,0.9786725],"category_scores_gemma":[0.002721288,0.0008509569,0.0008156947,0.002291978,0.001247137,0.005605646,0.003216232,0.002440101,0.9898123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011241,"about_ca_system_score_gemma":0.001037877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003063393,"about_ca_topic_score_gemma":0.002859163,"domain_scores_codex":[0.9993887,0.00005104289,0.00004176286,0.0002052169,0.0002128959,0.0001003093],"domain_scores_gemma":[0.9977095,0.0007734359,0.0001938468,0.0004151368,0.0003983665,0.0005096858],"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":[0.0001098359,0.0001112477,0.0004234488,0.0003409586,0.00001600476,0.00009674673,0.00007395714,0.0004556699,0.001516231,0.009282419,0.3704829,0.6170906],"study_design_scores_gemma":[0.00001813166,0.0000356804,0.0005097085,0.0002500546,0.000008159396,0.0001712583,0.00007487758,0.0002049656,0.000301467,0.002371813,0.9960394,0.00001441432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002182127,0.0004563516,0.001938315,0.0005137658,0.0001764377,0.00005417434,0.00140143,0.001718644,0.9935228],"genre_scores_gemma":[0.0008362684,0.0002827558,0.0007291735,0.0001644414,0.00004433506,0.00004649146,0.0007539501,0.0004080434,0.9967346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0213275,"threshold_uncertainty_score":0.03042102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332356094870132,"score_gpt":0.1571076788084164,"score_spread":0.1337841178597151,"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."}}