{"id":"W4406654753","doi":"10.1016/b978-0-7020-4637-7.09991-7","title":"10.1016/b978-0-7020-4637-7.09991-7","year":2000,"lang":"en","type":"paratext","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":"Front (military); Physics; Meteorology","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":[0.00146421,0.00175489,0.001647553,0.001802622,0.001078352,0.005759886,0.002640489,0.003823399,0.9804308],"category_scores_gemma":[0.003513676,0.0008047347,0.0008338526,0.002427784,0.001066934,0.004919517,0.003039374,0.002353174,0.9916332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056118,"about_ca_system_score_gemma":0.0009388264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00339067,"about_ca_topic_score_gemma":0.002696211,"domain_scores_codex":[0.999358,0.00006320194,0.00006232321,0.00017998,0.0002248128,0.0001117229],"domain_scores_gemma":[0.9972579,0.0009541931,0.0002626287,0.0004525785,0.0004656092,0.0006070203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001280909,0.0001028034,0.0004046251,0.0002584623,0.00001509313,0.00006706853,0.00004596528,0.0004652536,0.0008627561,0.004912467,0.5103084,0.482429],"study_design_scores_gemma":[0.00002679721,0.00004112871,0.0006758579,0.0002568787,0.000009290547,0.0001240387,0.00007342454,0.000323255,0.000271738,0.002045975,0.996136,0.00001570525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002382948,0.000451187,0.002067656,0.0008520359,0.0002982502,0.00007589429,0.002578149,0.002093709,0.9913448],"genre_scores_gemma":[0.000893068,0.0002521827,0.0005752234,0.0001982222,0.00006215011,0.00004938339,0.001163734,0.000384392,0.9964216],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01956922,"threshold_uncertainty_score":0.02791309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083874621148183,"score_gpt":0.1738677991725415,"score_spread":0.1530290529610597,"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."}}