{"id":"W7137423693","doi":"","title":"CINTRAFOR Working Paper 74","year":2016,"lang":"en","type":"other","venue":"ResearchWorks at the University of Washington (University of Washington)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Market share; Deregulation; Population; Promotion (chess); Housing industry; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002108007,0.001055388,0.000976944,0.003685931,0.002662052,0.01210926,0.002003636,0.003610173,0.5889001],"category_scores_gemma":[0.009777277,0.0005540599,0.0008258228,0.006456323,0.0008299359,0.006052735,0.002838641,0.003419586,0.3548791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006017971,"about_ca_system_score_gemma":0.008126473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02437639,"about_ca_topic_score_gemma":0.01513395,"domain_scores_codex":[0.998004,0.0002418471,0.000124769,0.0004024434,0.0008388729,0.0003880542],"domain_scores_gemma":[0.9965709,0.0004692429,0.0001727369,0.0005582075,0.001750797,0.0004781118],"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":[0.00004087872,0.00003978197,0.0003261482,0.0001821432,0.000007656648,0.00005808521,0.0001390099,0.00007447896,0.00007620309,0.0265197,0.9274868,0.0450491],"study_design_scores_gemma":[0.000006326948,0.000004668942,0.0004705552,0.000162277,0.000003045603,0.00001819604,0.00008331949,0.00001792585,0.00004749671,0.001222765,0.9979594,0.000004181554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001036754,0.006347888,0.0006763791,0.01474426,0.005089988,0.0001644264,0.01851493,0.0008409144,0.9525844],"genre_scores_gemma":[0.01103524,0.007766017,0.001028346,0.002630215,0.001617103,0.0002824092,0.02129721,0.001084546,0.9532591],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4110999,"threshold_uncertainty_score":0.5863841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083015561299486,"score_gpt":0.2336065559413122,"score_spread":0.2127764003283173,"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."}}