{"id":"W4242776857","doi":"10.26522/ti.v2i1.716","title":"Screen shot 20","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; Computer graphics (images); Artificial intelligence; Art; Materials science; Visual arts; 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":[0.0006003117,0.001560845,0.001146602,0.002381339,0.0008463947,0.00238439,0.001384967,0.001006953,0.7630626],"category_scores_gemma":[0.003500824,0.001036822,0.001173979,0.00193417,0.0002305458,0.001361298,0.001874195,0.000938759,0.5235927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005281677,"about_ca_system_score_gemma":0.0007702635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006077148,"about_ca_topic_score_gemma":0.01163865,"domain_scores_codex":[0.9996533,0.00003632536,0.00001913337,0.00007562694,0.0001352247,0.00008029222],"domain_scores_gemma":[0.9985209,0.0003709932,0.00005178558,0.000360391,0.0004756898,0.000220344],"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":[0.0002492001,0.00003399682,0.0003657759,0.0001600417,0.00002161901,0.00006324436,0.00004287653,0.000174377,0.0009940631,0.000586008,0.9787226,0.01858628],"study_design_scores_gemma":[0.0004515318,0.00006322795,0.005479717,0.000201113,0.00005756124,0.0001904016,0.00009528624,0.003979736,0.005169685,0.005028348,0.9791695,0.0001140161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003927738,0.0003068865,0.03203785,0.0006428258,0.001286911,0.0004844545,0.4853355,0.3210163,0.1549615],"genre_scores_gemma":[0.02542621,0.0004638108,0.04859144,0.001304854,0.0005666691,0.001350818,0.5091914,0.1779619,0.235143],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2369374,"threshold_uncertainty_score":0.3379624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06984980087406163,"score_gpt":0.2008487003606093,"score_spread":0.1309988994865476,"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."}}