{"id":"W4239927676","doi":"10.26522/ti.v2i1.713","title":"Screen shot 17","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":"Polyglot; Shot (pellet); Mosaic; Computer science; Computer graphics (images); 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":[0.0006192676,0.001528263,0.00120758,0.002372736,0.0009104039,0.002548774,0.001411663,0.001076253,0.7933899],"category_scores_gemma":[0.003626548,0.001096051,0.001199294,0.001937985,0.0002479455,0.001352813,0.001928726,0.0009719099,0.5757228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005627743,"about_ca_system_score_gemma":0.0008670052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006256194,"about_ca_topic_score_gemma":0.01282878,"domain_scores_codex":[0.9996225,0.00003911494,0.00002056251,0.00007863819,0.0001483009,0.00009075748],"domain_scores_gemma":[0.9984321,0.0003907662,0.00005608403,0.0003758148,0.0005067458,0.0002384059],"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":[0.0002198649,0.00003297707,0.0003437272,0.0001442732,0.000018115,0.00005669308,0.00003623118,0.0001324674,0.0008044655,0.0005004032,0.981351,0.01635976],"study_design_scores_gemma":[0.0004262592,0.00005747944,0.005201966,0.0001961315,0.00004856646,0.0001744644,0.00008344909,0.002763369,0.00462694,0.004133026,0.9821837,0.0001045788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003642338,0.0003126486,0.02524382,0.000690823,0.001316809,0.000515302,0.5204285,0.2827336,0.1651161],"genre_scores_gemma":[0.02205142,0.0004596132,0.04172587,0.001304793,0.0005797,0.001400525,0.5085009,0.1656387,0.2583385],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2066101,"threshold_uncertainty_score":0.2947043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07224602422048823,"score_gpt":0.2034259175931733,"score_spread":0.1311798933726851,"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."}}