{"id":"W4406666414","doi":"10.1016/b978-0-323-08475-8.00032-3","title":"10.1016/b978-0-323-08475-8.00032-3","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":[0.00114785,0.002002939,0.001530288,0.001901651,0.001193312,0.005495945,0.003005504,0.004400107,0.9807514],"category_scores_gemma":[0.002370561,0.0008792584,0.0008729654,0.002402997,0.001221608,0.005317096,0.003176055,0.002349221,0.9909353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109117,"about_ca_system_score_gemma":0.0009307528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003066395,"about_ca_topic_score_gemma":0.002713647,"domain_scores_codex":[0.9994292,0.00004445267,0.00003891901,0.0001969396,0.0001954101,0.00009504086],"domain_scores_gemma":[0.9979669,0.0006988281,0.0001694301,0.0003496029,0.0003378407,0.0004773031],"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":[0.0001212879,0.0001149465,0.0004017811,0.0003663094,0.00001761837,0.00009915528,0.0000681546,0.0004730596,0.00154086,0.008046977,0.3730242,0.6157256],"study_design_scores_gemma":[0.00002063672,0.00003884496,0.0005131485,0.0002633509,0.000009163699,0.0001698982,0.00007205416,0.000223297,0.0003198148,0.002014646,0.9963402,0.00001494851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002078295,0.0004738886,0.001852779,0.0004313756,0.0001635283,0.0000585921,0.001395046,0.001694754,0.9937223],"genre_scores_gemma":[0.0007843477,0.0002777216,0.0006557497,0.0001422875,0.00004133999,0.00004570638,0.000729707,0.0003539784,0.9969692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0192486,"threshold_uncertainty_score":0.02745569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195790028829993,"score_gpt":0.1548067691568203,"score_spread":0.1328488688685203,"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."}}