{"id":"W7005908491","doi":"","title":"Session 4: Aviation Security & Disruptive Passengers","year":2021,"lang":"en","type":"article","venue":"Scholarly Commons (Embry–Riddle Aeronautical University)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Airport security; Christian ministry; Aviation; Ministry of Transport","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002825555,0.0002573882,0.0002734866,0.0001683602,0.0003382406,0.0002067469,0.0004310848,0.0003483669,0.0001596322],"category_scores_gemma":[0.0004230622,0.0002947981,0.000273978,0.0006983355,0.0001891077,0.000121871,0.0006839805,0.0005670254,0.00008526177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425996,"about_ca_system_score_gemma":0.0002045241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000475997,"about_ca_topic_score_gemma":0.0006081095,"domain_scores_codex":[0.9979326,0.000440326,0.000227896,0.0006970057,0.0003148038,0.0003874193],"domain_scores_gemma":[0.998198,0.00006528939,0.0001084459,0.0008910695,0.0004752109,0.0002620329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003598243,0.001184759,0.01988654,0.00005129025,0.0005196034,0.000506125,0.0002521363,0.00002187226,0.9410847,0.01363389,0.01666821,0.005831027],"study_design_scores_gemma":[0.001478978,0.0002662726,0.009920326,0.00006658641,0.0003988435,0.00005864697,0.0008381847,0.0001332876,0.3660152,0.001551127,0.6183451,0.0009274665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255571,0.0004691173,0.02088043,0.001105698,0.00008135441,0.0002329283,0.00004009822,0.00015046,0.05148285],"genre_scores_gemma":[0.9887031,0.0002085557,0.002413418,0.0002869707,0.00008877661,0.000001972038,0.000663624,0.00002832607,0.00760526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6016768,"threshold_uncertainty_score":0.9999504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378973622002625,"score_gpt":0.2471927265197634,"score_spread":0.2334029902997371,"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."}}