{"id":"W6924353490","doi":"10.15468/dl.8edz8q","title":"Occurrence Download","year":2024,"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); Alien; Data set","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":[0.000943688,0.001921911,0.001646012,0.005166917,0.0009846381,0.002847918,0.002847795,0.001947095,0.1961992],"category_scores_gemma":[0.00634537,0.0009678169,0.00122384,0.01075521,0.0004437623,0.002447919,0.002708863,0.00199539,0.2735997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604794,"about_ca_system_score_gemma":0.002432385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086567,"about_ca_topic_score_gemma":0.03316243,"domain_scores_codex":[0.9989836,0.0001328027,0.0001338148,0.000365673,0.0002191193,0.0001649552],"domain_scores_gemma":[0.9976209,0.0006931989,0.0002083511,0.0006167667,0.0006004907,0.0002603413],"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":[0.00002475919,0.000009175589,0.000336711,0.0005792679,0.0000139678,0.00001347157,0.0000238077,0.0001119354,0.00009486561,0.0003746569,0.9968188,0.001598569],"study_design_scores_gemma":[0.0000542744,0.000006192679,0.00141383,0.0001856338,0.00001261484,0.00003169496,0.00006860901,0.0001206289,0.0001487717,0.0007346541,0.9972088,0.0000144289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000314804,0.00002713312,0.0000448089,0.00003338522,0.00001091898,0.000004859335,0.9987998,0.0003765431,0.0006710757],"genre_scores_gemma":[0.0001481552,0.00004171186,0.0002139297,0.00004656046,0.000003584322,0.00004417427,0.9987547,0.000178656,0.0005684269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8038008,"threshold_uncertainty_score":0.6563516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}