{"id":"W6886991152","doi":"10.15468/dl.nqsjkz","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capreolus; Sciurus; Vulpes; Sciurus carolinensis; Download; Matching (statistics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008853555,0.002814266,0.002351388,0.005717739,0.001758081,0.005395258,0.003579615,0.003413374,0.4532487],"category_scores_gemma":[0.007722212,0.001137381,0.001871952,0.009042903,0.0004858625,0.005949992,0.005275027,0.002462522,0.6207579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692206,"about_ca_system_score_gemma":0.002203719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01680377,"about_ca_topic_score_gemma":0.03123784,"domain_scores_codex":[0.9987702,0.0001482471,0.0001516065,0.0004174138,0.0002957198,0.0002168205],"domain_scores_gemma":[0.9969822,0.0006882863,0.0002050725,0.0006702776,0.001048786,0.0004055367],"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":[0.00003579699,0.00001045435,0.0002145766,0.0004415083,0.0000082141,0.00002093931,0.00002116826,0.00005104541,0.00006388238,0.0003382796,0.9956744,0.003119664],"study_design_scores_gemma":[0.00004766763,0.00001034297,0.000802216,0.0001896141,0.0000101473,0.00005140473,0.0000761651,0.0001570764,0.000124194,0.001357355,0.9971542,0.00001951805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008284035,0.0001332104,0.000231889,0.0001807101,0.00006769213,0.00002254627,0.9878141,0.004085047,0.007382033],"genre_scores_gemma":[0.0004283494,0.000155901,0.0007653412,0.0003083862,0.00002862331,0.00008406474,0.9921113,0.001477311,0.004640606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5467513,"threshold_uncertainty_score":0.7798744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}