{"id":"W4406371081","doi":"10.1139/cjz-2024-0102","title":"Grizzly bears detected at ecotourism sites are less likely than predicted by chance to encounter conflict","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Raincoast Conservation Foundation; University of Victoria","funders":"Raincoast Conservation Foundation; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Grizzly Bears; Ecology; Ecotourism; Tourism; Demography; Ursus; Geography; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002912011,0.0002369574,0.0003278164,0.0005992182,0.0005302396,0.0008460609,0.0004788762,0.0004445518,0.003024739],"category_scores_gemma":[0.01052004,0.0002491589,0.0003812983,0.0003942669,0.0007694506,0.0007569484,0.0005873233,0.0005192796,0.0002416395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002999745,"about_ca_system_score_gemma":0.0002647298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006655382,"about_ca_topic_score_gemma":0.01500544,"domain_scores_codex":[0.9983126,0.0005951934,0.00008443207,0.0005774553,0.0002230675,0.0002073454],"domain_scores_gemma":[0.9904772,0.004737162,0.003335281,0.000831047,0.0002592387,0.000360062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007055246,0.0000150086,0.9968964,0.000007323792,0.0000542214,0.00008757899,0.0001708849,0.0002750385,0.0003955821,0.0001483658,0.00005087604,0.001828166],"study_design_scores_gemma":[0.000003163502,0.00004819363,0.9973657,0.000003887725,0.00002658296,0.0002269128,0.0002371384,0.001551654,0.0001769807,0.0002061941,0.0001475452,0.000005963051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985059,0.00005438742,0.0006799785,0.00004165552,0.000003837825,0.000003875808,0.00004077012,0.000005606579,0.0006639906],"genre_scores_gemma":[0.9996351,0.00001509695,0.0001911742,0.00001377856,0.000004989416,0.000002410498,0.00006028303,0.000001671816,0.00007545129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006655382,"threshold_uncertainty_score":0.01540041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008900380099494065,"score_gpt":0.2035262999382254,"score_spread":0.1946259198387313,"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."}}