{"id":"W4254041818","doi":"10.26522/ti.v2i1.704","title":"Screen shot 8","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 science; Computer graphics (images); 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":[0.0006152013,0.001578624,0.001153041,0.002280795,0.0008525586,0.002387004,0.001401403,0.001109777,0.7698483],"category_scores_gemma":[0.003418714,0.001121483,0.001192829,0.001681921,0.0002340283,0.001331678,0.001902334,0.001021862,0.5185423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000501686,"about_ca_system_score_gemma":0.0007531921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005771413,"about_ca_topic_score_gemma":0.01181188,"domain_scores_codex":[0.999644,0.00003829592,0.00002002803,0.0000746097,0.0001373118,0.0000857524],"domain_scores_gemma":[0.9985132,0.0003837476,0.0000536343,0.0003584714,0.0004664513,0.0002244718],"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":[0.0002764339,0.00003624337,0.0003825587,0.0001628321,0.00002160322,0.00006256026,0.00004155759,0.0001660844,0.00103212,0.0005098222,0.979505,0.01780318],"study_design_scores_gemma":[0.0005686956,0.00006962247,0.006011631,0.000210798,0.00005749831,0.0002011391,0.00009772884,0.003994831,0.005781696,0.004779562,0.9781036,0.0001231989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004209503,0.0003105154,0.0304218,0.0007203895,0.001302703,0.0005441209,0.4873082,0.3257037,0.149479],"genre_scores_gemma":[0.02652975,0.000446593,0.0513624,0.001484482,0.0006115256,0.001594288,0.4905958,0.179463,0.2479122],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2301517,"threshold_uncertainty_score":0.3282834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07181048080794021,"score_gpt":0.200576820782789,"score_spread":0.1287663399748488,"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."}}