{"id":"W4307889031","doi":"10.1111/mms.12982","title":"Estimating body mass of sperm whales from aerial photographs","year":2022,"lang":"en","type":"article","venue":"Marine Mammal Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ministerio para la Transición Ecológica y el Reto Demográfico; Oticon Fonden; University of Manchester; Ministry of Environment; Carlsbergfondet; Villum Fonden; National Geographic Society","keywords":"Cetacea; Aerial survey; Geography; Sperm whale; Biology; Fishery; Environmental science; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605535,0.0002656937,0.0001127655,0.001611286,0.0001139183,0.0001971042,0.0001574562,0.0001087453,0.002079821],"category_scores_gemma":[0.0004112175,0.0001054746,0.0001601309,0.0006879715,0.00009066664,0.0002043693,0.0002079023,0.00007222981,0.0005690511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370326,"about_ca_system_score_gemma":0.00006455778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007967315,"about_ca_topic_score_gemma":0.020983,"domain_scores_codex":[0.9999169,0.00001448167,0.000006746133,0.00002670382,0.00002699207,0.000008181667],"domain_scores_gemma":[0.9998134,0.0000363862,0.00005823177,0.00001321801,0.00006754102,0.00001117654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009188589,0.0000341095,0.8758421,0.0001852658,0.0001048972,0.00016065,0.0004354971,0.002487426,0.02559472,0.00009989083,0.001512905,0.09345065],"study_design_scores_gemma":[0.00000138905,0.00003764603,0.9936216,0.00001645152,0.00001459126,0.00008115303,0.0003036813,0.002598686,0.002222264,0.00002829165,0.001068756,0.000005438314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870749,0.0004050794,0.004560976,0.00002011428,0.00001228633,0.00005056319,0.003217313,0.0001290993,0.004529791],"genre_scores_gemma":[0.9904726,0.0003626637,0.006037477,0.00001127223,0.000009714561,0.00003979727,0.001725579,0.00001197147,0.001328995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007967315,"threshold_uncertainty_score":0.0158419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135916612653761,"score_gpt":0.2285306913998738,"score_spread":0.2171715252733361,"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."}}