{"id":"W1524035291","doi":"10.69200/0002009984","title":"The Montreal Convention: A Japanese Perspective","year":2000,"lang":"zh","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"International Law and Aviation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Convention; Political science; Law; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007608606,0.0007678069,0.0006554268,0.005507273,0.01392994,0.02555564,0.00307525,0.006957046,0.01414808],"category_scores_gemma":[0.01297106,0.0008418931,0.0008049833,0.008438159,0.01236698,0.01470533,0.004792098,0.007185537,0.0008972525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04265302,"about_ca_system_score_gemma":0.03733607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7868226,"about_ca_topic_score_gemma":0.7181005,"domain_scores_codex":[0.992596,0.001873766,0.000445549,0.001321491,0.002048121,0.001715158],"domain_scores_gemma":[0.9947482,0.00133568,0.0005700719,0.0005505783,0.001930195,0.0008654013],"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":[0.00001634139,0.00001475947,0.00058044,0.00003851062,0.00001380784,0.0000918421,0.00138231,0.0002136868,0.0001111754,0.9549122,0.03459389,0.008031012],"study_design_scores_gemma":[0.00002857575,0.00003501114,0.007845434,0.0002573474,0.00006486247,0.00008248512,0.0034057,0.0008842466,0.0004138393,0.1057311,0.8810889,0.0001625594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02545346,0.02327655,0.01282338,0.1909788,0.002912204,0.0001675501,0.002089452,0.0002103348,0.7420883],"genre_scores_gemma":[0.5871947,0.02418284,0.0146756,0.0422511,0.004532382,0.0004382224,0.001169664,0.0004660682,0.3250894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2131774,"threshold_uncertainty_score":0.4288657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412397733998896,"score_gpt":0.2898437967124036,"score_spread":0.2757198193724146,"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."}}