{"id":"W121796752","doi":"10.1007/978-3-642-32433-8_2","title":"The Insurance of Aviation Risks by the Conventional Insurance Markets","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Reinsurance; Insurance law; Casualty insurance; Liability insurance; General insurance; Insurance policy; Aviation; Actuarial science; Business; Auto insurance risk selection; Underwriting; Scope (computer science); Context (archaeology); Engineering; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001168342,0.000305245,0.0004916492,0.00009091644,0.0003516155,0.00006238818,0.0005847805,0.0002520992,0.00079562],"category_scores_gemma":[0.00005647175,0.0002243834,0.0003148292,0.0000694699,0.0002703569,0.0001916566,0.0001062694,0.0003725644,0.001328984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008824314,"about_ca_system_score_gemma":0.00002109954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001771602,"about_ca_topic_score_gemma":0.00004598596,"domain_scores_codex":[0.9980802,0.00001575594,0.00106141,0.0003633099,0.0001411926,0.0003381275],"domain_scores_gemma":[0.9976754,0.00016903,0.001364468,0.0006467943,0.0001021988,0.000042137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004087148,0.00003369728,0.01453165,0.00003672476,0.0001117495,3.695477e-7,0.00004408265,0.000002293732,7.202688e-7,0.9397822,0.01831886,0.02709677],"study_design_scores_gemma":[0.0002934841,0.00002543832,0.09475616,0.0000425358,0.00001098398,0.00000101609,0.000009397487,0.0000192314,0.00001038051,0.1027924,0.8017734,0.0002655502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001577946,0.04545293,0.001446327,0.0006414086,0.001352723,0.000651548,0.001407642,0.00002352731,0.9474459],"genre_scores_gemma":[0.5495231,0.02077434,0.00003243709,0.0002064966,0.0002273999,0.0000514968,0.00006002244,0.00004344026,0.4290812],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8369898,"threshold_uncertainty_score":0.9994486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520414259016461,"score_gpt":0.2223982008630765,"score_spread":0.1871940582729119,"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."}}