{"id":"W4213277852","doi":"10.26522/ti.v2i1.702","title":"Screen shot 6","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shot (pellet); Computer graphics (images); Computer science; Materials science; Metallurgy","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":[0.0006077228,0.001523629,0.001133901,0.002224881,0.0008556916,0.002393708,0.001333851,0.001101787,0.7623031],"category_scores_gemma":[0.003390384,0.001081543,0.00119518,0.001689369,0.0002255359,0.001321428,0.001817507,0.001024887,0.5058189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478489,"about_ca_system_score_gemma":0.0007570657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005832253,"about_ca_topic_score_gemma":0.0122083,"domain_scores_codex":[0.9996455,0.000038703,0.0000198667,0.00007370304,0.0001368916,0.00008531594],"domain_scores_gemma":[0.9985122,0.0003802978,0.00005324371,0.0003574745,0.0004677781,0.0002289596],"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":[0.0002861249,0.00003744755,0.0004081875,0.0001753949,0.00002262622,0.00006529481,0.00004236101,0.0001819946,0.001088314,0.0005426193,0.9790758,0.01807379],"study_design_scores_gemma":[0.0005428363,0.00006960089,0.006189685,0.0002065984,0.00005916016,0.0002024294,0.00009614554,0.004031554,0.005739561,0.004849114,0.97789,0.0001233208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004183747,0.0003274641,0.03029566,0.0007104861,0.001330409,0.0005173073,0.5131273,0.3014989,0.1480088],"genre_scores_gemma":[0.02692384,0.0004594105,0.05154289,0.001492534,0.0006152253,0.001446946,0.5162891,0.1703835,0.2308466],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2376969,"threshold_uncertainty_score":0.3390458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07180454332563233,"score_gpt":0.2004847671793525,"score_spread":0.1286802238537202,"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."}}