{"id":"W3120363063","doi":"10.18280/ijsse.100605","title":"Numerical Modeling of the Exposure on Radiofrequency Radiation of Marine Mammal Observers During Their Shift: A Case Study","year":2020,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crew; Occupational exposure; Risk assessment; Environmental science; Transmission (telecommunications); Computer science; Ultra high frequency; Risk analysis (engineering); Marine engineering; Reliability engineering; Environmental health; Telecommunications; Engineering; Aeronautics; Computer security; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008964334,0.0001177342,0.0003555925,0.0001824289,0.00005689666,0.00003632185,0.0005448602,0.00004428783,0.00003429393],"category_scores_gemma":[0.0007924166,0.00007714068,0.0002546749,0.0003635478,0.0000242872,0.0002818435,0.0001127632,0.000290619,3.978754e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000447934,"about_ca_system_score_gemma":0.00003949251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001008574,"about_ca_topic_score_gemma":0.000009848482,"domain_scores_codex":[0.9976128,0.0001055368,0.001038578,0.0001530229,0.0009959383,0.0000941125],"domain_scores_gemma":[0.9986489,0.0003252964,0.0004777907,0.0001430628,0.0003115048,0.00009344568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004742844,0.0001121538,0.02332823,0.00001346875,0.000301364,0.0003018449,0.0117735,0.9516823,0.0002976716,0.000372075,0.000001653901,0.01134148],"study_design_scores_gemma":[0.002122683,0.0004141339,0.03688625,0.00008988302,0.0000800645,0.0007095885,0.005679436,0.9514397,0.00103053,0.001259105,0.0001104495,0.0001781184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895385,0.0002619456,0.007953936,0.001867426,0.0002519501,0.00007073962,0.00001625542,0.000004564145,0.00003469186],"genre_scores_gemma":[0.9993429,0.0003060214,0.000160219,0.00002566906,0.0001556955,4.438378e-7,6.204851e-7,0.000006520105,0.000001878169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01355803,"threshold_uncertainty_score":0.3145705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324913343036249,"score_gpt":0.2795488967038862,"score_spread":0.2462997632735237,"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."}}