{"id":"W3111446758","doi":"","title":"VSVSVS : Not together, but alongside // Karen Kraven : Flip Flop, Front Punch","year":2015,"lang":"en","type":"book","venue":"E-Artexte (Artexte)","topic":"Cardiac tumors and thrombi","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ontario Arts Council; Canada Council for the Arts; Toronto Arts Council; Government of Ontario","keywords":"Flip-flop; Flip; Front (military); Computer science; Telecommunications; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001497315,0.001846196,0.003696214,0.0005709758,0.0003352941,0.0002362068,0.00082177,0.001584784,0.008206525],"category_scores_gemma":[0.0003538362,0.001725334,0.001788606,0.0002425317,0.0005076572,0.0003030063,0.0005375278,0.002433791,0.02037558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143666,"about_ca_system_score_gemma":0.003108545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006187545,"about_ca_topic_score_gemma":0.0004894853,"domain_scores_codex":[0.9916338,0.0002575001,0.001684123,0.002162442,0.002459981,0.001802144],"domain_scores_gemma":[0.9932117,0.0002844023,0.0007593872,0.003178045,0.0009203033,0.001646156],"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":[0.000542015,0.0003264253,0.0001117054,0.0003872495,0.001096333,0.002679958,0.001664152,0.000006983917,0.0004193466,0.001052886,0.9597142,0.03199875],"study_design_scores_gemma":[0.004892133,0.0008891833,0.004697768,0.001437988,0.001739058,0.00130269,0.0002272481,0.00005978816,0.000388614,0.005530556,0.9769402,0.00189484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008775544,0.01025057,0.0001636589,0.002226124,0.006003929,0.003067585,0.0009498324,0.0008049248,0.9677578],"genre_scores_gemma":[0.02025389,0.000434615,0.0006270627,0.002793114,0.007038664,0.0002013122,0.001870873,0.0006585857,0.9661219],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03010391,"threshold_uncertainty_score":0.9998676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306612482906394,"score_gpt":0.2629451724820742,"score_spread":0.2398790476530103,"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."}}