{"id":"W2562395901","doi":"10.47536/jcrm.v11i3.603","title":"An inventory and evaluation of unmanned aerial systems for offshore surveys of marine mammals","year":2023,"lang":"en","type":"article","venue":"˜The œjournal of cetacean research and management. Special issue","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASL Environmental Sciences (Canada)","funders":"","keywords":"Computer science; Submarine pipeline; Aeronautics; Drone; Aerial survey; Systems engineering; Remote sensing; Engineering; Geography; Oceanography; Biology; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.01256913,0.00006836853,0.0001720646,0.0001458757,0.0001165362,0.00002276926,0.0002271395,0.00004889396,0.0002637613],"category_scores_gemma":[0.00005534344,0.00005042664,0.00002654477,0.0002665793,0.0003345729,0.0001557827,0.0001827222,0.00008766656,0.000006416504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003599733,"about_ca_system_score_gemma":0.00001690222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001412975,"about_ca_topic_score_gemma":0.0005315627,"domain_scores_codex":[0.9978376,0.0009106423,0.0003230744,0.0001192263,0.0006228194,0.0001866467],"domain_scores_gemma":[0.9993013,0.0001417621,0.0001962896,0.000145996,0.0001462585,0.00006837659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006012019,0.0007621765,0.4919046,0.001179122,0.000881219,0.00003632485,0.0041871,0.002915874,0.01760282,0.009231054,0.1692102,0.2960775],"study_design_scores_gemma":[0.002519412,0.001730603,0.9286786,0.00006130986,0.0001389845,0.000007407582,0.003485753,0.005731674,0.0007375537,0.009139389,0.04763335,0.0001359135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995546,0.0001275506,0.00006832546,0.0002327343,0.0002656117,0.0006620913,0.000008827904,0.00000329992,0.00308558],"genre_scores_gemma":[0.9967386,0.0007605578,0.00003926147,0.00000805203,0.0006358466,0.00001011042,0.00001395818,0.000006763327,0.001786864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4367741,"threshold_uncertainty_score":0.4356234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07555412003858056,"score_gpt":0.3529230207205998,"score_spread":0.2773689006820192,"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."}}