{"id":"W4237579667","doi":"10.26522/ti.v2i1.699","title":"Screen shot 3","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); Polyglot; Mosaic; Computer science; One shot; Computer graphics (images); Artificial intelligence; Art; Materials science; Engineering; Visual arts; Mechanical engineering; Metallurgy; Programming language","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":[0.0005343497,0.001542952,0.001081894,0.002106776,0.0008501569,0.00233878,0.001260902,0.001096512,0.7340604],"category_scores_gemma":[0.003110003,0.0009971799,0.001170919,0.001643497,0.0002219509,0.001221709,0.00183017,0.0009625317,0.446625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723339,"about_ca_system_score_gemma":0.0007401846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006183442,"about_ca_topic_score_gemma":0.01243365,"domain_scores_codex":[0.9996743,0.00003474229,0.00001688204,0.0000660096,0.0001269749,0.00008113353],"domain_scores_gemma":[0.9986304,0.0003579098,0.00004768246,0.0003167907,0.0004399046,0.0002073629],"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":[0.0003038456,0.00003680968,0.0004254694,0.0001767761,0.00002390496,0.00008024347,0.000046569,0.0002130845,0.001244163,0.0005724407,0.9773006,0.01957612],"study_design_scores_gemma":[0.000551692,0.00007308987,0.00639289,0.0002109992,0.00006122748,0.0002392145,0.0001101104,0.005078692,0.006354142,0.00547189,0.975329,0.0001270993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005040361,0.0003472438,0.03687583,0.00077435,0.001391105,0.0005756476,0.4717376,0.3201898,0.1630681],"genre_scores_gemma":[0.03363835,0.0004950161,0.05698432,0.001696664,0.0006402356,0.001599728,0.486871,0.1753032,0.2427714],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2659396,"threshold_uncertainty_score":0.3793305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07182180704149815,"score_gpt":0.2003326464862537,"score_spread":0.1285108394447555,"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."}}