{"id":"W4252834263","doi":"10.26522/ti.v2i1.718","title":"Screen shot 22","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","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":[0.0005987909,0.001584896,0.001203308,0.0023117,0.0008699529,0.002523164,0.001448271,0.001051783,0.7780843],"category_scores_gemma":[0.003654188,0.00109024,0.001195855,0.001899203,0.0002460773,0.001364723,0.001866986,0.0009721618,0.5521925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005377674,"about_ca_system_score_gemma":0.0008074898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006350029,"about_ca_topic_score_gemma":0.01233885,"domain_scores_codex":[0.9996241,0.00004021067,0.00002013484,0.0000809551,0.0001466008,0.0000879664],"domain_scores_gemma":[0.9985169,0.0003822203,0.00005208194,0.0003604177,0.0004674804,0.0002209721],"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":[0.0002198311,0.00002990052,0.0003140112,0.0001460068,0.00001900524,0.00005840262,0.00003771577,0.0001462306,0.0008659213,0.0005302013,0.9804584,0.01717431],"study_design_scores_gemma":[0.000413839,0.00005449684,0.004947306,0.0001815704,0.0000480098,0.0001744067,0.00008227467,0.003089234,0.004639958,0.004544824,0.9817154,0.0001086318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00348891,0.0003106833,0.02992324,0.0006677451,0.001287933,0.0004826803,0.4904706,0.3202689,0.1530993],"genre_scores_gemma":[0.02305935,0.0004368006,0.0432326,0.001298855,0.0005552192,0.001336289,0.4869674,0.1908361,0.2522773],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2219157,"threshold_uncertainty_score":0.3165357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06728627075464406,"score_gpt":0.2021224412860638,"score_spread":0.1348361705314197,"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."}}