{"id":"W4248207831","doi":"10.26522/ti.v2i1.717","title":"Screen shot 21","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shot (pellet); Polyglot; Mosaic; Computer graphics (images); Computer science; Art; Visual arts; Materials science; 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":[0.0005816726,0.001582932,0.001212401,0.00232052,0.0008902819,0.002534951,0.001429603,0.001069374,0.7711328],"category_scores_gemma":[0.00366873,0.001067036,0.001194146,0.001922419,0.0002441006,0.001342556,0.001954462,0.0009627673,0.5456181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000556599,"about_ca_system_score_gemma":0.0008222919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00626177,"about_ca_topic_score_gemma":0.01267301,"domain_scores_codex":[0.9996225,0.00003987029,0.00002037751,0.00007883056,0.0001498644,0.00008850944],"domain_scores_gemma":[0.9984933,0.0003768202,0.00005223073,0.000361192,0.0004951332,0.0002212237],"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":[0.0002169936,0.0000308036,0.0003322116,0.000155771,0.00001956115,0.00006155684,0.00003923441,0.0001458005,0.0009069251,0.0005499657,0.9799156,0.01762553],"study_design_scores_gemma":[0.0003886663,0.00005621145,0.005138266,0.0001824135,0.00004859373,0.0001733154,0.0000830696,0.00310356,0.00495424,0.004667835,0.9810964,0.0001074736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003699495,0.000316502,0.0285243,0.0006786643,0.001329703,0.0004998781,0.5014785,0.3052732,0.1581998],"genre_scores_gemma":[0.0238619,0.0004587829,0.04339385,0.001285733,0.0005581884,0.001358921,0.5070849,0.1729199,0.2490778],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2288672,"threshold_uncertainty_score":0.3264513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06983497937334132,"score_gpt":0.2011763007641013,"score_spread":0.13134132139076,"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."}}