{"id":"W7065075932","doi":"","title":"Development of Advanced Remote Sensing Methods in Quantifying Wildlife Habitat Management","year":2023,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Electrical and Electromagnetic Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Wildlife; Habitat; Wildlife conservation; Wildlife management; Wildlife corridor; Geographic information system; Thresholding; Vegetation (pathology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001352056,0.000980167,0.0003605961,0.00166148,0.0001600521,0.0009333663,0.0008241298,0.0007779136,0.001116956],"category_scores_gemma":[0.001640195,0.0003490652,0.0004792273,0.001342364,0.0004912814,0.001329358,0.0006100755,0.0007863517,0.0006776107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727777,"about_ca_system_score_gemma":0.000394781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432487,"about_ca_topic_score_gemma":0.003499286,"domain_scores_codex":[0.9994687,0.0001345622,0.00003092426,0.0001419705,0.0001990587,0.0000247278],"domain_scores_gemma":[0.9992055,0.0002892971,0.000118536,0.0001009983,0.0002631421,0.00002256218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004096233,0.0001164642,0.00820281,0.0003575337,0.0001100671,0.0001104994,0.000138963,0.1492238,0.05169711,0.01837169,0.003867366,0.7677627],"study_design_scores_gemma":[0.000009312898,0.00009398539,0.01073742,0.00009472008,0.00003604985,0.0001373414,0.00009198332,0.9355776,0.01799089,0.01583441,0.01934326,0.00005292267],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01419563,0.001670085,0.9796577,0.0002349442,0.00007658667,0.00007459568,0.0002847663,0.0005012664,0.003304545],"genre_scores_gemma":[0.1158176,0.001815041,0.8794871,0.0001639773,0.00009177036,0.0001157392,0.000542676,0.00006085791,0.001905264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002432487,"threshold_uncertainty_score":0.007150471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510821792464917,"score_gpt":0.2508926976128655,"score_spread":0.2257844796882164,"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."}}