{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485232,0.0001508697,0.0002079754,0.0003792327,0.0004142494,0.0006660093,0.001484662,0.00008320015,0.0001441834],"category_scores_gemma":[0.0007102431,0.0001457925,0.00009700674,0.004792878,0.0002022272,0.001004212,0.0002075159,0.0001074824,0.00004116963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004450573,"about_ca_system_score_gemma":0.00007886496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007368506,"about_ca_topic_score_gemma":0.00003967634,"domain_scores_codex":[0.9976584,0.0001525684,0.0004583226,0.0008550523,0.0005217228,0.0003539142],"domain_scores_gemma":[0.9969324,0.000126037,0.0001886359,0.00157349,0.0009266569,0.0002528222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006862304,0.001174283,0.003218544,0.00003448305,0.0000358108,4.344932e-7,0.001813688,0.00005424153,0.1328611,0.167911,0.5313519,0.1615378],"study_design_scores_gemma":[0.001277603,0.0003003942,0.04167259,0.0001114992,0.00006194364,0.000009206226,0.00002780796,0.4206478,0.09183317,0.05506946,0.3875343,0.00145428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02536019,0.0001216361,0.9653968,0.003011888,0.001002545,0.0004786326,0.0001937831,0.0002861856,0.004148304],"genre_scores_gemma":[0.4373991,0.000006012087,0.5591456,0.0001834872,0.00003728633,0.0001216889,0.0000782004,0.000009965433,0.003018708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4205936,"threshold_uncertainty_score":0.6422343,"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."}}