{"id":"W6983943369","doi":"","title":"99%","year":2018,"lang":"it","type":"article","venue":"Americanae (AECID Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002258315,0.001084004,0.001176505,0.0007789393,0.0005346278,0.0002514082,0.002095171,0.0002954078,0.075528],"category_scores_gemma":[0.0002063998,0.001163361,0.0004823301,0.005211503,0.004375718,0.00368759,0.001055415,0.0007126179,0.2319499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758206,"about_ca_system_score_gemma":0.0009120879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02288715,"about_ca_topic_score_gemma":0.00003751599,"domain_scores_codex":[0.9933614,0.0006090888,0.001053847,0.001726539,0.001067954,0.002181166],"domain_scores_gemma":[0.9948211,0.0002801742,0.0008579568,0.002601879,0.0001488271,0.001290055],"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":[0.0002411406,0.0003436493,0.1476564,0.00001964337,0.0003875324,0.0001865196,0.0006150829,0.000003294325,0.002186178,0.004030439,0.8249487,0.0193814],"study_design_scores_gemma":[0.001012063,0.001734617,0.3595528,0.0001218951,0.0002202695,0.00003044126,0.000469944,0.0005747936,0.009211494,0.0005587803,0.6249879,0.001524968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6496546,0.002179705,0.0002570476,0.008299568,0.003191279,0.001024094,0.0009237944,0.002500675,0.3319692],"genre_scores_gemma":[0.9259614,0.000434039,0.006866808,0.008834993,0.004887291,0.00004983175,0.0001885602,0.001098266,0.05167885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802904,"threshold_uncertainty_score":0.9990816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096831540008698,"score_gpt":0.233029996792967,"score_spread":0.2220616813928801,"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."}}