{"id":"W6973735071","doi":"10.57830/2314080","title":"Yukon-Charley National Preserve GPS Collar Moose Project","year":2025,"lang":"en","type":"other","venue":"National Park Service","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Collar; Assisted GPS; Measure (data warehouse); Tracking (education)","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":[0.000162894,0.0002018661,0.000120437,0.0003805994,0.000573866,0.000401848,0.0004485809,0.0001964439,0.007198139],"category_scores_gemma":[0.0002271523,0.0001045304,0.00008336723,0.0005123819,0.0001422591,0.0001829619,0.0005319843,0.0001620324,0.001381638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522864,"about_ca_system_score_gemma":0.004471947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5427446,"about_ca_topic_score_gemma":0.8367865,"domain_scores_codex":[0.9998879,0.00001623949,0.000005428817,0.00002257109,0.00003638412,0.00003141189],"domain_scores_gemma":[0.9996462,0.00001010436,0.00003047431,0.00001792263,0.0002244727,0.00007076137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006057514,0.0002982005,0.4789981,0.0005761533,0.0001036236,0.0006765764,0.001229782,0.0008425214,0.005449551,0.002216313,0.3347854,0.174218],"study_design_scores_gemma":[0.00004921475,0.0001271945,0.810371,0.0001360264,0.00004720234,0.000173882,0.00261778,0.001628041,0.001290667,0.0002291642,0.1833109,0.0000188269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6286006,0.0009273926,0.002816848,0.001753108,0.0001614899,0.0005312734,0.1778743,0.0005195612,0.1868154],"genre_scores_gemma":[0.7129418,0.0007894564,0.009244198,0.0006560455,0.00001736796,0.0004826948,0.1258408,0.000144214,0.1498834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5427446,"threshold_uncertainty_score":0.9198965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824652068852594,"score_gpt":0.3326042818392093,"score_spread":0.2943577611506834,"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."}}