{"id":"W4406664143","doi":"10.1016/b978-0-323-50887-2.00005-1","title":"10.1016/b978-0-323-50887-2.00005-1","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine","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":[0.001036164,0.001752531,0.00129833,0.00182547,0.001092602,0.00463744,0.002594622,0.003923051,0.9774173],"category_scores_gemma":[0.002423652,0.0007248434,0.0006788196,0.002223434,0.001026119,0.004862444,0.002751716,0.002012254,0.9890056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009860966,"about_ca_system_score_gemma":0.0008544245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896092,"about_ca_topic_score_gemma":0.002631899,"domain_scores_codex":[0.9994686,0.00004414513,0.00003717081,0.0001759221,0.0001824029,0.00009170361],"domain_scores_gemma":[0.9982224,0.0005786467,0.0001575667,0.0002934184,0.0003093993,0.0004386297],"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":[0.0001018775,0.0001059862,0.0004009936,0.0003121881,0.00001275557,0.00008764775,0.00006442366,0.0003947489,0.001231563,0.007434696,0.3806229,0.6092302],"study_design_scores_gemma":[0.00001576924,0.00003239745,0.0005467976,0.000246135,0.000007613392,0.000158929,0.00006740163,0.0002048677,0.0002674102,0.001950802,0.996489,0.00001289485],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002342301,0.0004903598,0.001744974,0.0004960364,0.0001622005,0.00005430933,0.00127874,0.001455487,0.9940836],"genre_scores_gemma":[0.0008880424,0.0002948587,0.0006899388,0.0001529077,0.00004140187,0.00004406353,0.0007446767,0.0003255845,0.9968185],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02258265,"threshold_uncertainty_score":0.0322113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169769608291251,"score_gpt":0.1548808707046619,"score_spread":0.1331831746217494,"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."}}