{"id":"W4386056474","doi":"10.1111/acv.12900","title":"Towards ecotourism that nurtures local visions for landscapes and wildlife","year":2023,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vision; Wildlife; Sustainability; Library science; Columbia university; Geography; Ecology; Sociology; Media studies; Biology; Computer science; Anthropology","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":[0.0002676716,0.00009982025,0.000102128,0.00004104699,0.0002640582,0.00002936203,0.00008551947,0.0001111314,0.000150451],"category_scores_gemma":[0.0001042309,0.00009377473,0.000030206,0.0002134473,0.0001011138,0.000277247,0.00007565443,0.00006774699,0.0002047713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002913652,"about_ca_system_score_gemma":0.00001997259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002194372,"about_ca_topic_score_gemma":0.0006487237,"domain_scores_codex":[0.9992765,0.00002899834,0.0001343204,0.0002390069,0.000124968,0.0001962635],"domain_scores_gemma":[0.9996033,0.0001746202,0.00005936503,0.00009004174,0.00001581659,0.00005688922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001041989,0.00002520506,0.7712973,0.00001281935,0.00001334973,0.0000031952,0.0002446847,0.0000754522,0.0008407817,0.001326777,0.2229485,0.003107686],"study_design_scores_gemma":[0.000311456,0.0001481662,0.9290013,0.000008375565,0.00001530981,0.000003525045,0.0001452187,0.0202818,0.0002095319,0.003061318,0.04669957,0.0001143909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754435,0.0000143298,0.001330141,0.022054,0.00009755541,0.0002844919,0.00001246056,0.0001244667,0.0006391027],"genre_scores_gemma":[0.9919315,0.00003300236,0.0004884913,0.006912387,0.00005762119,0.00008973305,0.00007641323,0.00001111425,0.000399753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.176249,"threshold_uncertainty_score":0.3824023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145233846419311,"score_gpt":0.2550037494862554,"score_spread":0.2335514110220623,"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."}}