{"id":"W7098705411","doi":"","title":"Polar bears from space: assessing satellite imagery as a tool to track Arctic wildlife. PLoS One 9:e101513","year":2014,"lang":"en","type":"article","venue":"","topic":"Medieval European History and Architecture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite imagery; Arctic; Transect; Satellite; Aerial survey; Population; Polar; Scale (ratio)","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":[0.01036804,0.0005325071,0.0003955503,0.002467155,0.0004833945,0.001517081,0.0004825472,0.000502955,0.0009784218],"category_scores_gemma":[0.01635717,0.0002310982,0.0004207565,0.001793572,0.0004725208,0.001668156,0.0009623157,0.0002763828,0.0001961378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190816,"about_ca_system_score_gemma":0.0008503582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01434786,"about_ca_topic_score_gemma":0.02168143,"domain_scores_codex":[0.9964709,0.002293083,0.0001356901,0.0002137658,0.0007614993,0.0001250286],"domain_scores_gemma":[0.9892427,0.005249731,0.002726074,0.000336668,0.001930823,0.000513956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007206821,0.0001946851,0.9523004,0.0001365968,0.0003532641,0.000159616,0.0009661462,0.001902446,0.001001584,0.0001619722,0.0007493765,0.04135327],"study_design_scores_gemma":[0.00002731829,0.001291866,0.9784177,0.0001070388,0.0003526419,0.0001948505,0.003327289,0.0135436,0.001066705,0.0002192811,0.001420015,0.00003164208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943625,0.0005484035,0.002297502,0.0001864193,0.00003654191,0.0001533105,0.0007923042,0.00002082338,0.001602325],"genre_scores_gemma":[0.9935521,0.0004170056,0.004638766,0.00004764351,0.00004695991,0.00009731378,0.0007801807,0.000009799759,0.0004104466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01434786,"threshold_uncertainty_score":0.05483216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042943610741328,"score_gpt":0.2203978546972117,"score_spread":0.1899684185897985,"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."}}