{"id":"W4406644928","doi":"10.1016/b978-84-9022-657-5.00147-7","title":"10.1016/b978-84-9022-657-5.00147-7","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":[0.001243552,0.002250973,0.001677665,0.002070476,0.001337404,0.005663435,0.002983798,0.0047797,0.9796869],"category_scores_gemma":[0.002469122,0.0009691557,0.0008719151,0.002523142,0.001345024,0.006383725,0.003355961,0.002555772,0.9900317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157008,"about_ca_system_score_gemma":0.001017292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003191298,"about_ca_topic_score_gemma":0.002951424,"domain_scores_codex":[0.999392,0.00004626651,0.00004716689,0.0002200832,0.0001932841,0.0001011672],"domain_scores_gemma":[0.9976781,0.0008039218,0.0001960149,0.000364595,0.000399188,0.0005583016],"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":[0.0001195812,0.0001147398,0.0004022574,0.0003960792,0.00001732217,0.00009754033,0.00007309761,0.0004439515,0.00163494,0.007199362,0.3984022,0.591099],"study_design_scores_gemma":[0.00002092378,0.00004366182,0.0005413888,0.0003057638,0.00000981689,0.0001843159,0.00007909008,0.0002206301,0.0003646969,0.001942841,0.9962709,0.000016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000215876,0.0005768569,0.001684754,0.0004526964,0.000181064,0.00005841058,0.001307043,0.001633793,0.9938896],"genre_scores_gemma":[0.0007484835,0.0003279318,0.0005841962,0.0001581388,0.00004844446,0.00004377598,0.0007086602,0.0003452821,0.997035],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02031314,"threshold_uncertainty_score":0.02897418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241544117946096,"score_gpt":0.1542068592597616,"score_spread":0.1317914180803007,"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."}}