{"id":"W7057348770","doi":"","title":"Integrated Approaches to Polar Bear (Ursus Maritimus) Conservation: Exploring the Potential of Photogrammetric Research Techniques and Citizen Science in Tourism Settings","year":2018,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ursus maritimus; Photogrammetry; Tundra; Tourism; Citizen science; Wildlife; Arctic; Apex predator; Ecosystem; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00426124,0.0004838892,0.0003162753,0.001734089,0.001953903,0.004537921,0.001012171,0.0006946781,0.002572916],"category_scores_gemma":[0.003333579,0.0003053361,0.0003891239,0.001430027,0.002230629,0.003225742,0.004805753,0.001016601,0.0002946704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538991,"about_ca_system_score_gemma":0.003473454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00731064,"about_ca_topic_score_gemma":0.02269804,"domain_scores_codex":[0.9977576,0.001398301,0.00006295046,0.000175483,0.0004304485,0.0001752574],"domain_scores_gemma":[0.998378,0.0006068872,0.0002711924,0.0001263595,0.0002811579,0.0003363095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002158283,0.002154962,0.1830851,0.0008258249,0.0001450485,0.0006763444,0.02578969,0.002952921,0.009435387,0.02065363,0.007077856,0.7469875],"study_design_scores_gemma":[0.0001280661,0.003627042,0.4785407,0.002214812,0.0003865772,0.0018374,0.2731738,0.02653785,0.00907882,0.05153053,0.1527509,0.0001935547],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8325134,0.008624919,0.04969659,0.02290578,0.000280244,0.0006726013,0.0001977951,0.0001542069,0.08495444],"genre_scores_gemma":[0.8811594,0.00674755,0.1046657,0.001509991,0.0001480537,0.0003082201,0.0001353761,0.00003055392,0.005295213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00731064,"threshold_uncertainty_score":0.02253586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05298200557533821,"score_gpt":0.212730930416677,"score_spread":0.1597489248413388,"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."}}