{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007749847,0.0001728017,0.0002412951,0.00006056708,0.0006799541,0.00004901602,0.001159832,0.00001691061,0.02922622],"category_scores_gemma":[0.0001353518,0.0001661372,0.00008347675,0.001273499,0.0008768145,0.0002679644,0.006503905,0.0001705354,0.00008568093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002306223,"about_ca_system_score_gemma":0.00003303666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03437797,"about_ca_topic_score_gemma":0.001344432,"domain_scores_codex":[0.9973878,0.00005719453,0.0003294561,0.0005939357,0.001149965,0.00048162],"domain_scores_gemma":[0.9992316,0.00006338543,0.0001840512,0.0003788094,0.0000145804,0.0001275431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006055069,0.0001199414,0.8880142,0.00001067202,0.00001039911,0.0000263995,0.0002273475,0.001733622,0.06360235,0.0002845415,0.0004680285,0.04544196],"study_design_scores_gemma":[0.0005306766,0.0003465761,0.9531803,0.000008654832,0.00002757123,0.00001379373,0.0003002553,0.0226787,0.005082473,0.003102203,0.01428291,0.0004458875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9013982,0.00001815171,0.00009932296,0.00007540741,0.0003978912,0.0002118324,0.00002337759,0.00004211363,0.09773365],"genre_scores_gemma":[0.9828921,0.000007693242,0.01657997,0.0001383656,0.000077766,0.00004099031,0.0000066334,0.00001116613,0.0002453324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09748831,"threshold_uncertainty_score":0.9720522,"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."}}