{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001397476,0.00006081286,0.0001514804,0.00006697145,0.00006842834,0.00006857073,0.000139289,0.00002632567,0.07543881],"category_scores_gemma":[0.00002029153,0.00006616253,0.00005032196,0.00006513653,0.00005061653,0.0001894674,0.00006370918,0.00003574374,0.3082388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002392064,"about_ca_system_score_gemma":0.000002649827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005191359,"about_ca_topic_score_gemma":0.000004147948,"domain_scores_codex":[0.9994025,0.000001563345,0.000192806,0.0002143479,0.00001050033,0.000178331],"domain_scores_gemma":[0.9996812,0.00001025681,0.00006596105,0.0001845958,0.00001061397,0.00004741749],"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":[8.670702e-7,0.00001765637,0.01126666,0.000002636516,0.00002748446,4.55144e-7,0.0002163887,0.000005351537,0.000005606837,0.1472362,0.8402565,0.0009642003],"study_design_scores_gemma":[0.0002288321,0.00001277284,0.02704353,0.000002414901,0.0000016749,7.189798e-7,0.0002219911,0.0005095262,0.00002193395,0.01801338,0.9537725,0.0001707738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03871503,0.0003769459,0.00007249675,0.0003651428,0.000797312,0.0000897525,0.00007298376,0.00003373799,0.9594766],"genre_scores_gemma":[0.5208533,0.00003961982,0.000312026,0.0004138897,0.00009165028,0.00001589561,0.000005093061,0.000007768208,0.4782608],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4821383,"threshold_uncertainty_score":0.9254063,"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."}}