{"id":"W6906241801","doi":"10.15468/dl.vng6j9","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":"Download; Matching (statistics); Range (aeronautics); Data set; Order (exchange)","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":[0.0009436125,0.002004822,0.001634898,0.005607164,0.0009819556,0.002583932,0.002791679,0.001942137,0.1542764],"category_scores_gemma":[0.005616661,0.0009008126,0.001213183,0.01106827,0.0004482032,0.002194002,0.002698325,0.001916362,0.2188124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157486,"about_ca_system_score_gemma":0.002377507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272358,"about_ca_topic_score_gemma":0.03735919,"domain_scores_codex":[0.9989242,0.0001371922,0.0001420169,0.0003624176,0.0002495057,0.0001846533],"domain_scores_gemma":[0.9975733,0.0006241531,0.00023293,0.0006519359,0.0006230657,0.0002946621],"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":[0.00003388077,0.00001121684,0.0003828042,0.0005915554,0.00001711664,0.00001591313,0.000024312,0.0001200153,0.0001389475,0.0003946715,0.9966828,0.001586671],"study_design_scores_gemma":[0.00006993392,0.000007604904,0.001869842,0.0001835523,0.00001489556,0.00003759005,0.00006275105,0.000120491,0.0001930015,0.0007203486,0.9967031,0.00001695186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004123785,0.00002853683,0.0000395789,0.00002976702,0.00001030378,0.00000495362,0.9988489,0.0003642938,0.0006324084],"genre_scores_gemma":[0.0001441876,0.00003372924,0.0001660907,0.00003957129,0.000003056201,0.0000349224,0.9990397,0.0001370681,0.000401504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8457236,"threshold_uncertainty_score":0.5161061,"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."}}