{"id":"W2001189174","doi":"10.7557/3.2848","title":"Visibility of St Lawrence belugas to aerial photography, estimated by direct observation","year":2002,"lang":"en","type":"article","venue":"NAMMCO Scientific Publications","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"","keywords":"Aerial survey; Population; Visibility; Geography; Secchi disk; Range (aeronautics); Aerial photography; Turbidity; Environmental science; Remote sensing; Ecology; Biology; Meteorology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002621336,0.0001705386,0.0001401034,0.000918429,0.0004394582,0.0003771945,0.0001976592,0.0001586837,0.001241463],"category_scores_gemma":[0.001592532,0.0002418945,0.0001742708,0.0002789369,0.0003648567,0.0003677089,0.0003948847,0.0002022345,0.0002173099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009452201,"about_ca_system_score_gemma":0.0002976842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2398538,"about_ca_topic_score_gemma":0.501048,"domain_scores_codex":[0.9997081,0.00004141041,0.00001716462,0.00008381679,0.00009818296,0.00005121956],"domain_scores_gemma":[0.9991462,0.0001390965,0.0002766793,0.00004604607,0.0002728965,0.0001190127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001025382,0.0000358284,0.9800572,0.00002585626,0.0000421416,0.0001319932,0.002121329,0.0001519292,0.008406145,0.00004058279,0.0001910793,0.008693294],"study_design_scores_gemma":[0.000001738058,0.00007017048,0.9988325,0.000004839842,0.000009174384,0.00009655345,0.0002874749,0.000215001,0.0002578169,0.000005033283,0.0002154928,0.000004230909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992374,0.00004951869,0.00009099591,0.000007367488,0.000001305551,0.000003212064,0.00006417044,0.000005995795,0.0005400063],"genre_scores_gemma":[0.9992139,0.00004990714,0.00025424,0.000006934138,0.000002318434,0.000004140863,0.0001258067,0.000001578159,0.0003411981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7601462,"threshold_uncertainty_score":0.4769154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06014418515910193,"score_gpt":0.3014744625847675,"score_spread":0.2413302774256656,"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."}}