{"id":"W2796178185","doi":"10.1093/jmammal/gyx066","title":"Effects of environmental factors and landscape features on movement patterns of Florida black bears","year":2017,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Florida","keywords":"Wildlife; Ursus; Foraging; Geography; Habitat; Marsh; Ecology; Wildlife management; Movement (music); Seasonal breeder; National park; Wetland; Biology; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001457375,0.0000767509,0.0001854627,0.00003278541,0.00006062338,0.000005900293,0.0001661766,0.0000674492,0.000247577],"category_scores_gemma":[0.00004790832,0.00005799854,0.0000519897,0.000008733056,0.0001613815,0.0001114674,0.00008252259,0.0001136545,0.000004511837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002488028,"about_ca_system_score_gemma":0.000004644839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004119485,"about_ca_topic_score_gemma":0.00004312637,"domain_scores_codex":[0.9994165,0.00004264594,0.0002049615,0.00008059111,0.0001594085,0.0000959497],"domain_scores_gemma":[0.9992416,0.0001076141,0.0004826279,0.0001185836,0.00000322289,0.00004633781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008540693,0.00008019868,0.9869739,0.00001532537,0.00003277963,0.00001494775,0.000229173,0.00005516746,0.01116678,0.00002944869,0.0003453533,0.000971554],"study_design_scores_gemma":[0.0006096276,0.0005466172,0.9833904,0.00002084505,0.00002805435,0.000006976601,0.00007453726,0.000007479785,0.01501492,0.0001680368,0.00008579744,0.00004673508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992086,0.00002652255,0.00001365961,0.0002559418,0.0001905925,0.00006502317,0.000006108604,8.514184e-7,0.0002326816],"genre_scores_gemma":[0.9995848,0.00008680337,0.00003872823,0.0001365012,0.00003866615,5.458666e-7,9.706299e-7,0.000004230218,0.000108742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003848138,"threshold_uncertainty_score":0.2710795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005047479334887102,"score_gpt":0.1994367598586107,"score_spread":0.1943892805237236,"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."}}