{"id":"W4284896487","doi":"10.1101/2022.07.07.498143","title":"Drivers of polar bear behavior, and the possible effects of prey availability on foraging strategy","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; University of Alberta; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Churchill Northern Studies Centre; Environment and Climate Change Canada; Canadian Wildlife Federation; World Wildlife Fund; Parks Canada; Quark Expeditions","keywords":"Foraging; Ursus maritimus; Habitat; Predation; Ecology; Abundance (ecology); Geography; Physical geography; Environmental science; Arctic; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008050289,0.0001671236,0.0002115543,0.0004351931,0.0003715909,0.0007644224,0.0002530217,0.000212955,0.001324267],"category_scores_gemma":[0.002343233,0.0001677538,0.0003939125,0.0004388953,0.0003884622,0.0003857772,0.0003494156,0.000274115,0.00009082811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237155,"about_ca_system_score_gemma":0.0004161549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02647255,"about_ca_topic_score_gemma":0.04265825,"domain_scores_codex":[0.9997303,0.0001098441,0.00001667533,0.00007128809,0.00002717096,0.00004469126],"domain_scores_gemma":[0.9986689,0.0006325703,0.0004282188,0.00007989266,0.00007214541,0.0001183142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005015565,0.00001028446,0.9973598,0.000005631984,0.00004838533,0.00005122762,0.0001076768,0.0007208565,0.0004473398,0.0001746989,0.00007611392,0.0009478671],"study_design_scores_gemma":[9.560212e-7,0.00001294937,0.9973955,0.000002711478,0.00001112326,0.00001970483,0.0002211217,0.002075869,0.00005534214,0.000118484,0.0000837145,0.000002486081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990859,0.00005887886,0.0002914186,0.00005427875,0.000003767401,0.000003493969,0.0001437533,0.000002942857,0.0003555017],"genre_scores_gemma":[0.9997292,0.00002741942,0.00007962071,0.000005692958,0.000003277882,0.000002317328,0.00008326913,0.000001138809,0.0000679884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02647255,"threshold_uncertainty_score":0.05263692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094914855396474,"score_gpt":0.2156797065384795,"score_spread":0.2047305579845148,"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."}}