{"id":"W6948297237","doi":"10.5061/dryad.k98sf7m4m","title":"Data from - Ecological insights from three decades of animal movement tracking across a changing Arctic","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; Yukon Department of Environment; University of Alberta; Government of Northwest Territories","funders":"National Aeronautics and Space Administration","keywords":"Arctic; Phenology; Tracking (education); Climate change; Satellite tracking; Citizen science; Baseline (sea); Movement (music)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001969806,0.0008186143,0.0006134494,0.002827193,0.0008560825,0.001490327,0.001456299,0.001100079,0.006881867],"category_scores_gemma":[0.006700429,0.0003039791,0.0007824663,0.004253581,0.0004692947,0.0007741082,0.001732859,0.001153725,0.007274259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009812368,"about_ca_system_score_gemma":0.001651131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04504179,"about_ca_topic_score_gemma":0.09054504,"domain_scores_codex":[0.9988157,0.0002599303,0.0001254141,0.000350611,0.0002966199,0.0001519073],"domain_scores_gemma":[0.9969913,0.0008742247,0.0003378255,0.0006851363,0.0007883348,0.0003231789],"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":[0.0003336186,0.0001592506,0.03545815,0.001151744,0.0002231197,0.0003646725,0.00047852,0.003709795,0.0009185561,0.002671799,0.9364083,0.01812242],"study_design_scores_gemma":[0.0002534991,0.0000602917,0.09005639,0.0003336826,0.00009038659,0.000341796,0.0006417712,0.002833413,0.001059644,0.002610212,0.9016346,0.00008426917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007425861,0.0002073312,0.0004992964,0.0002373598,0.00006721495,0.00002592373,0.9895008,0.000404087,0.001632124],"genre_scores_gemma":[0.005506558,0.00007329103,0.001414296,0.00005846303,0.0000151972,0.00009270201,0.9921812,0.00005690991,0.0006014348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04504179,"threshold_uncertainty_score":0.08955926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1750291585461087,"score_gpt":0.3562613303330158,"score_spread":0.181232171786907,"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."}}