{"id":"W4238213300","doi":"10.26522/ti.v2i1.706","title":"Screen shot 10","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":[0.0005833708,0.001570633,0.001124071,0.002281255,0.0008657319,0.002370704,0.001375072,0.001061116,0.7541226],"category_scores_gemma":[0.003284398,0.001042508,0.001174535,0.001835981,0.0002306527,0.001327803,0.001819893,0.000991317,0.49401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005050638,"about_ca_system_score_gemma":0.0007614953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00620564,"about_ca_topic_score_gemma":0.01257301,"domain_scores_codex":[0.999658,0.00003525888,0.00001845946,0.00007359859,0.0001322953,0.00008245679],"domain_scores_gemma":[0.9986132,0.0003524813,0.00005002824,0.0003357838,0.0004398224,0.0002086555],"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":[0.0002642104,0.000037398,0.0004020859,0.0001683831,0.00002297706,0.00006771122,0.00004458491,0.0001767425,0.001117133,0.0005724694,0.979179,0.0179472],"study_design_scores_gemma":[0.0005011951,0.00006925024,0.006454408,0.0002202422,0.00006309473,0.0002140732,0.0001091597,0.004254049,0.00615616,0.005151932,0.97668,0.000126441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004200513,0.0002968733,0.03019533,0.0006608403,0.001331295,0.0004906962,0.51935,0.2982803,0.1451941],"genre_scores_gemma":[0.02678837,0.000458348,0.051962,0.001367313,0.0005731381,0.001388747,0.5258034,0.1667071,0.2249515],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2458774,"threshold_uncertainty_score":0.3507142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07306804264949314,"score_gpt":0.2023084360169699,"score_spread":0.1292403933674768,"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."}}