{"id":"W4205482583","doi":"10.26522/ti.v2i1.719","title":"Screen shot 23","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; One shot; Computer science; Single shot; Computer graphics (images); Artificial intelligence; Physics; Optics; Art; Materials science; Engineering; Visual arts; Mechanical engineering; Programming language; Metallurgy","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":[0.000586504,0.00160137,0.001199418,0.002291517,0.0009018519,0.002628362,0.0014582,0.001068103,0.7735131],"category_scores_gemma":[0.003689044,0.001054978,0.001206551,0.001875821,0.0002482867,0.001355872,0.001921392,0.001000196,0.5532912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005526864,"about_ca_system_score_gemma":0.0008266955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006682392,"about_ca_topic_score_gemma":0.01296316,"domain_scores_codex":[0.9996222,0.00003934352,0.00001994418,0.00008000607,0.000151265,0.00008726877],"domain_scores_gemma":[0.9984824,0.0003759445,0.00005232708,0.0003718238,0.0004933208,0.0002241545],"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":[0.0002046487,0.0000289304,0.0003003583,0.0001397089,0.00001896628,0.00006183438,0.00003661019,0.0001502407,0.0008350089,0.0005227049,0.9806512,0.01704978],"study_design_scores_gemma":[0.0003801289,0.0000541438,0.004668044,0.0001804301,0.00004805373,0.0001797351,0.00008486766,0.003195943,0.004695091,0.004564301,0.9818419,0.0001072725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003483214,0.0003303392,0.03135808,0.00070959,0.001394419,0.0004905473,0.4708077,0.3282738,0.1631524],"genre_scores_gemma":[0.02373997,0.0004727096,0.04413552,0.001326718,0.0005870147,0.001307302,0.4756681,0.1876244,0.2651383],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2264869,"threshold_uncertainty_score":0.3230561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07293717014828591,"score_gpt":0.2031314689080645,"score_spread":0.1301942987597786,"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."}}