{"id":"W4251032211","doi":"10.26522/ti.v2i1.714","title":"Screen shot 18","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; Computer graphics (images); Artificial intelligence; Art; Visual arts; Materials science; Engineering; Programming language; Mechanical engineering","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":[0.000620333,0.001515466,0.001163386,0.002336514,0.0008746961,0.00245703,0.001404937,0.001023496,0.7845839],"category_scores_gemma":[0.003643158,0.001067724,0.001156523,0.001914283,0.0002391066,0.001386441,0.001843713,0.0009686014,0.5626401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005241698,"about_ca_system_score_gemma":0.0008048061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006021113,"about_ca_topic_score_gemma":0.01193102,"domain_scores_codex":[0.9996308,0.00003876219,0.00002023067,0.0000797988,0.0001427542,0.00008753801],"domain_scores_gemma":[0.9984351,0.000387244,0.00005631283,0.0003826275,0.0005065232,0.0002322314],"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":[0.0002332746,0.0000315961,0.0003370561,0.00014134,0.00001762034,0.00005525192,0.00003719059,0.0001368324,0.0007944244,0.0005163705,0.9801856,0.01751345],"study_design_scores_gemma":[0.0004180438,0.00005529515,0.004844145,0.0001806991,0.00004581944,0.0001656639,0.00008009798,0.002777804,0.004203544,0.004033034,0.9830992,0.00009676654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003494425,0.0003022803,0.02856678,0.000666063,0.001327292,0.0004905296,0.5041134,0.301065,0.1599742],"genre_scores_gemma":[0.02253186,0.0004523153,0.04544226,0.001257236,0.0006056473,0.001363249,0.498972,0.1761499,0.2532255],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2154161,"threshold_uncertainty_score":0.3072649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09699803805525493,"score_gpt":0.2133872680101965,"score_spread":0.1163892299549416,"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."}}