{"id":"W6886953857","doi":"10.15468/dl.78kckm","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Fauna; Nova scotia","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":[],"category_scores_codex":[0.0009775814,0.001814247,0.001387189,0.005112873,0.0008030564,0.002399084,0.002465006,0.001788192,0.1775828],"category_scores_gemma":[0.005930268,0.0008577683,0.001161943,0.009411811,0.0003983894,0.002268087,0.00266292,0.001748848,0.2305503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414029,"about_ca_system_score_gemma":0.002171768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994854,"about_ca_topic_score_gemma":0.03278631,"domain_scores_codex":[0.9989518,0.0001368793,0.0001450907,0.0003534205,0.0002337375,0.0001790612],"domain_scores_gemma":[0.9973928,0.000677511,0.0002587891,0.0007065706,0.0006449124,0.0003194263],"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":[0.00002939667,0.00001055382,0.0003758226,0.0005343228,0.00001512422,0.00001378038,0.0000217094,0.0001192367,0.0001235999,0.0003541132,0.9968562,0.001546014],"study_design_scores_gemma":[0.00006882678,0.00000885343,0.002152874,0.0001911007,0.00001350117,0.00003267497,0.00006565174,0.0001395564,0.0001975857,0.0006995433,0.9964131,0.00001664477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003966088,0.00002121955,0.00004157674,0.00003109514,0.00001163045,0.000005629129,0.998865,0.0003742116,0.0006100554],"genre_scores_gemma":[0.000165352,0.00002943899,0.0001921409,0.00004397957,0.000003644868,0.00003922577,0.9989247,0.0001442779,0.0004570896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8224173,"threshold_uncertainty_score":0.5940735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}