{"id":"W6969414597","doi":"10.5441/001/1.3gg33bd4","title":"Data from: Study \"Arctic fox Bylot - Argos tracking\"","year":2021,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Arctic; Vulpes; Arctic fox; Range (aeronautics); Predation; Competition (biology); Home range","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00124479,0.001204253,0.001549775,0.000405674,0.0002435507,0.0009034799,0.006312957,0.0006417834,0.01454455],"category_scores_gemma":[0.002141036,0.001264259,0.000228177,0.0009161804,0.0001582946,0.0007232418,0.004229296,0.002070636,0.06410575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004494717,"about_ca_system_score_gemma":0.0005142915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135493,"about_ca_topic_score_gemma":0.009838905,"domain_scores_codex":[0.9916752,0.0008726948,0.001171002,0.003225691,0.002011067,0.001044366],"domain_scores_gemma":[0.9841063,0.0005672384,0.0007500651,0.01401304,0.0002977898,0.0002655359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008704334,0.003078275,0.00100176,0.0001374324,0.001182358,0.002168134,0.00005077911,0.000006198877,0.00006352198,5.340715e-7,0.9920048,0.0002192185],"study_design_scores_gemma":[0.001789437,0.0001412961,0.01138621,0.0002494033,0.001580859,0.00001978764,0.0001374358,0.00003437895,0.00001948347,0.00004147851,0.9833587,0.001241582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002818506,0.002411664,0.000003361844,0.00003663124,0.001873594,0.001439838,0.9910261,0.0002705392,0.0001197426],"genre_scores_gemma":[0.001331429,0.00007512418,0.00008721785,0.0003878718,0.001336004,0.0001484924,0.9954206,0.0004237562,0.0007894422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0495612,"threshold_uncertainty_score":0.9990634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364119893040497,"score_gpt":0.3597967152542383,"score_spread":0.2233847259501886,"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."}}