{"id":"W7068724553","doi":"","title":"Submarine Detail","year":2021,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"World War II; State (computer science); Key (lock); Spanish Civil War; Sculpture; Welding; Shot (pellet); George (robot); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001087658,0.0001101247,0.000277572,0.0001180538,0.0002128181,0.0000393945,0.0002117275,0.00008324102,0.0003271929],"category_scores_gemma":[0.0003686984,0.0001347209,0.000139788,0.0004825071,0.0001207347,0.0004847544,0.0003067408,0.0004245977,0.000114413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004792299,"about_ca_system_score_gemma":0.0001907999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005695933,"about_ca_topic_score_gemma":0.004898903,"domain_scores_codex":[0.9991058,0.00006112663,0.0001120557,0.0002251496,0.0002906177,0.0002052119],"domain_scores_gemma":[0.998659,0.0001520537,0.00007167232,0.0005015641,0.000359018,0.0002567008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001077103,0.000229961,0.9802652,0.00003796566,0.0001433601,0.001036758,0.00008082863,0.000009190286,0.0001374807,0.0006821406,0.002432397,0.014837],"study_design_scores_gemma":[0.001321264,0.0001396061,0.960793,0.00006694393,0.0002630963,0.00006547996,0.0001568459,0.0001072737,0.0001692611,0.00006930538,0.03672057,0.0001274169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717584,0.0005695406,0.001346405,0.001422796,0.00005306856,0.00008301155,0.00005974888,0.00007324121,0.02463375],"genre_scores_gemma":[0.9899649,0.0001017631,0.005695522,0.0001622244,0.00002887489,9.013061e-8,0.0002026776,0.00001025479,0.003833662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03428817,"threshold_uncertainty_score":0.5493758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487227061967979,"score_gpt":0.2308011532488492,"score_spread":0.2059288826291694,"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."}}