{"id":"W4236907377","doi":"10.26522/ti.v2i1.698","title":"Screen shot 2","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":[0.0005383953,0.001572622,0.001084952,0.002195236,0.0008364592,0.002261511,0.001213531,0.001102221,0.7360259],"category_scores_gemma":[0.003204522,0.00102802,0.001142069,0.001644139,0.0002116967,0.001230573,0.00178202,0.0009377965,0.4395574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576519,"about_ca_system_score_gemma":0.0007285494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005715411,"about_ca_topic_score_gemma":0.01167499,"domain_scores_codex":[0.9996724,0.00003606423,0.00001690037,0.00006780027,0.0001249016,0.00008187771],"domain_scores_gemma":[0.9985784,0.0003900557,0.00005110775,0.0003147308,0.0004443578,0.0002213008],"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":[0.0003189592,0.00003882363,0.0004391451,0.000187287,0.00002391344,0.00008220608,0.00004573376,0.0002022876,0.00124923,0.0005404372,0.9780499,0.01882219],"study_design_scores_gemma":[0.000615429,0.00007935031,0.007128885,0.0002143803,0.00006246896,0.0002537462,0.000112092,0.004796213,0.006237661,0.005277051,0.9750916,0.0001311063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005331926,0.0003487848,0.03376757,0.0008012498,0.001414523,0.0006208151,0.5187682,0.2877941,0.1511528],"genre_scores_gemma":[0.03346547,0.000474791,0.05545191,0.001749387,0.000673104,0.001761346,0.5131657,0.1660832,0.2271751],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2639741,"threshold_uncertainty_score":0.376527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07015044953918505,"score_gpt":0.2000929647485514,"score_spread":0.1299425152093663,"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."}}