{"id":"W4238129081","doi":"10.26522/ti.v2i1.707","title":"Screen shot 11","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); Computer science; Computer graphics (images); Materials science","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":[0.000635852,0.001563936,0.001159003,0.002247812,0.0008949886,0.002458019,0.001377281,0.001065808,0.759966],"category_scores_gemma":[0.003564466,0.001095256,0.001149125,0.001833388,0.0002396352,0.0013071,0.001853625,0.000988474,0.5155406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005400337,"about_ca_system_score_gemma":0.0007928012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006466488,"about_ca_topic_score_gemma":0.01353947,"domain_scores_codex":[0.9996207,0.00004281679,0.00002071401,0.00007763522,0.0001459195,0.00009218653],"domain_scores_gemma":[0.9984624,0.0004095374,0.00005548076,0.0003632004,0.0004798505,0.0002296247],"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":[0.0002642897,0.00003525291,0.0004153224,0.0001602116,0.00002098673,0.00006195765,0.00004170185,0.0001645629,0.0009516086,0.0005446535,0.9808021,0.01653734],"study_design_scores_gemma":[0.0004945618,0.00006639989,0.00655764,0.0002041829,0.00005478225,0.0001898893,0.00009876653,0.003577474,0.00553824,0.004864341,0.9782296,0.0001240927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003825641,0.0002852193,0.02712511,0.0006321726,0.001175178,0.0004928589,0.5502743,0.2781879,0.1380016],"genre_scores_gemma":[0.024784,0.0004219509,0.04554351,0.001369092,0.0005375856,0.001444583,0.5404971,0.1575978,0.2278044],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.240034,"threshold_uncertainty_score":0.3423793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07166100744173423,"score_gpt":0.2011762413880886,"score_spread":0.1295152339463544,"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."}}