{"id":"W6967339557","doi":"10.5061/dryad.1zcrjdg1f","title":"Data from: Behavioural responses of brown bears to roads and hunting disturbance","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Offspring; Disturbance (geology); Hunting season; Predation; Morning; Seasonal breeder","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":[0.0003915773,0.0002105869,0.0001989178,0.0003502773,0.0003464494,0.0002933673,0.0002115097,0.0002252372,0.006439695],"category_scores_gemma":[0.0006533611,0.0001054988,0.0002289675,0.0003028856,0.0002106958,0.000186873,0.0003536947,0.0002394854,0.002073727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271532,"about_ca_system_score_gemma":0.0001909936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004897263,"about_ca_topic_score_gemma":0.01093138,"domain_scores_codex":[0.9997608,0.00004503267,0.00003173906,0.00007608679,0.00005668322,0.00002958815],"domain_scores_gemma":[0.9991739,0.0001499328,0.0002626822,0.0001273962,0.0001657495,0.0001202084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001095305,0.0002236072,0.9646326,0.0001056387,0.0001244353,0.000240112,0.0006988341,0.0002785719,0.00588217,0.0000678199,0.007003833,0.01964714],"study_design_scores_gemma":[0.00001481926,0.0001556869,0.9961872,0.0000089816,0.00002085884,0.00008462078,0.0001248915,0.00007282576,0.0003614507,0.0000169553,0.002947446,0.000004204215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9755234,0.0001156812,0.0005296536,0.00007906434,0.00004822195,0.00006820565,0.01967967,0.00004877651,0.003907202],"genre_scores_gemma":[0.9420822,0.0002381444,0.001450015,0.0001586571,0.00009574316,0.0003623167,0.04674377,0.00004153497,0.008827565],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006439695,"threshold_uncertainty_score":0.02154291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332065463631921,"score_gpt":0.3837091696058965,"score_spread":0.2505026232427043,"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."}}