{"id":"W4406486993","doi":"10.1016/s0197-2510(10)70100-5","title":"10.1016/s0197-2510(10)70100-5","year":2000,"lang":"en","type":"article","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":"Power (physics); Computer science; Physics","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":[0.001157475,0.002500584,0.001916954,0.00291065,0.002069049,0.0045824,0.00342507,0.006304018,0.9883681],"category_scores_gemma":[0.002274665,0.0009838074,0.001300979,0.003312629,0.001801467,0.005759034,0.003307916,0.002865352,0.9935342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415407,"about_ca_system_score_gemma":0.001538419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004468541,"about_ca_topic_score_gemma":0.003588281,"domain_scores_codex":[0.9991922,0.00006576601,0.00006748297,0.0002716826,0.0002361588,0.0001666503],"domain_scores_gemma":[0.9977285,0.0006171514,0.0001806437,0.0003157973,0.0004556983,0.0007021867],"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":[0.0002526062,0.0001716243,0.0007561417,0.0004666411,0.00002960797,0.0001823448,0.00007992482,0.0004912621,0.001354796,0.006411921,0.3992792,0.5905238],"study_design_scores_gemma":[0.00004458345,0.00007927133,0.0005982097,0.0003074847,0.00001190803,0.0002044305,0.00009551612,0.0002859627,0.0002975425,0.0008981698,0.9971551,0.00002182491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003263575,0.0003821235,0.0006848271,0.0004765452,0.0002967082,0.00007677329,0.001021825,0.001006303,0.9957286],"genre_scores_gemma":[0.0006204266,0.0001859593,0.0003484687,0.0002007265,0.00006242345,0.00004856784,0.0004757438,0.0001786858,0.9978789],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01163191,"threshold_uncertainty_score":0.01659149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713290600779444,"score_gpt":0.1517692337918585,"score_spread":0.1346363277840641,"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."}}