{"id":"W6921191078","doi":"10.6084/m9.figshare.9122528.v1","title":"Gallant et al. datasets for study \"Disentangling the relative influences of global drivers of change in biodiversity: a study of the twentieth-century red fox expansion into the Canadian Arctic\"","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Global change; Global warming; Air temperature","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000521703,0.0002034895,0.0003181313,0.0000433236,0.0002062731,0.00002104568,0.001262084,0.0001103671,0.002687264],"category_scores_gemma":[0.0005568317,0.0001164171,0.0001012877,0.0003840598,0.00009640517,0.0001856324,0.00118499,0.0002652554,0.00002399272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004272274,"about_ca_system_score_gemma":0.0001179486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3681868,"about_ca_topic_score_gemma":0.8137901,"domain_scores_codex":[0.9980388,0.0003787897,0.0003657983,0.0004071716,0.0005824906,0.0002269136],"domain_scores_gemma":[0.9981336,0.0003148216,0.0005015614,0.0009582357,0.0000442595,0.00004752344],"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":[0.00005914573,0.0004955491,0.06132235,0.0001473163,0.00008406922,0.000003662556,0.01166297,0.0003837073,0.000002507955,4.900309e-7,0.9257811,0.00005716238],"study_design_scores_gemma":[0.002475104,0.0009233927,0.4167704,0.002261056,0.0004700636,0.000001646907,0.03127865,0.0003809549,0.000009723356,0.00007570183,0.5448408,0.0005125589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1183029,0.00004399348,9.654483e-9,0.000402198,0.000107139,0.00346799,0.8776678,0.000001878842,0.000006058888],"genre_scores_gemma":[0.3194275,0.00001897965,0.000002684028,0.0003247148,0.000003586048,0.0001148417,0.6801039,0.000003258915,5.429147e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4456033,"threshold_uncertainty_score":0.9982244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08670408372078622,"score_gpt":0.3119544545800457,"score_spread":0.2252503708592594,"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."}}