{"id":"W4390533176","doi":"10.1139/dsa-2023-0065","title":"Czech society and drones: experience, norms, and concerns","year":2024,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Drone; Czech; Legislature; Enforcement; Law enforcement; Feeling; Business; Political science; Public relations; Psychology; Social psychology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002133197,0.0002139669,0.0002759694,0.001579114,0.002086024,0.004221204,0.0003230417,0.0004589868,0.003157176],"category_scores_gemma":[0.007134165,0.0001566435,0.0002170186,0.001116025,0.004163043,0.001995175,0.002977281,0.0008292486,0.0003043312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471159,"about_ca_system_score_gemma":0.001990693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379102,"about_ca_topic_score_gemma":0.01905013,"domain_scores_codex":[0.9966613,0.001105797,0.0002760033,0.0003175821,0.001126807,0.0005124749],"domain_scores_gemma":[0.9959962,0.001166298,0.001289252,0.0002582543,0.0005314165,0.0007585008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000310007,0.0002389769,0.5706182,0.0003320911,0.0001079376,0.001609206,0.3300496,0.0007966535,0.003623729,0.01854445,0.003113761,0.07065542],"study_design_scores_gemma":[0.00001535021,0.0001785605,0.4876841,0.0002216846,0.00002898578,0.001148908,0.4654132,0.0005775103,0.0005273825,0.001910423,0.04213875,0.0001551075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847393,0.0004153643,0.0003148933,0.0005766471,0.00002074027,0.00001381139,0.00007118899,0.0000062688,0.01384167],"genre_scores_gemma":[0.9992816,0.0001666093,0.00003581406,0.00004608526,0.000004732791,0.000003313066,0.00002696693,0.000002762598,0.0004322267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02379102,"threshold_uncertainty_score":0.04730505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008116661154123926,"score_gpt":0.2216830165548124,"score_spread":0.2135663554006885,"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."}}