{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001587362,0.00006823794,0.0001686221,0.00007507748,0.00007715875,0.00007619814,0.000155775,0.00002950039,0.09578151],"category_scores_gemma":[0.0000225055,0.00007458812,0.00005656484,0.00007193888,0.0000559012,0.0002044683,0.00007475245,0.00004081613,0.2806001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002811919,"about_ca_system_score_gemma":0.000003179329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005568963,"about_ca_topic_score_gemma":0.000004129989,"domain_scores_codex":[0.9993407,0.000001859802,0.000211804,0.0002370455,0.00001218578,0.0001964206],"domain_scores_gemma":[0.999645,0.00001194018,0.00007481415,0.0002041066,0.0000119099,0.00005224106],"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":[0.000001014886,0.000018843,0.01129083,0.00000289033,0.00002945706,5.032373e-7,0.0001890407,0.000006102738,0.000005530216,0.125289,0.8621786,0.0009881877],"study_design_scores_gemma":[0.0002526447,0.00001450987,0.02716454,0.000002765338,0.000002041309,7.934373e-7,0.0002505055,0.0005583781,0.00002263363,0.01679455,0.9547494,0.0001872525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04426745,0.0004091261,0.00007093628,0.0003300873,0.0008714263,0.00009834493,0.00008586563,0.00003537932,0.9538314],"genre_scores_gemma":[0.5020668,0.00004767146,0.000309541,0.0004275508,0.0001004508,0.00001769528,0.000006032375,0.000008840198,0.4970154],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4577993,"threshold_uncertainty_score":0.9050451,"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."}}