{"id":"W6906002004","doi":"10.15468/dl.p7rbm4","title":"Occurrence Download","year":2022,"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; The Internet","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":[0.0009744717,0.002028982,0.001575796,0.004563009,0.001057855,0.002574434,0.002850147,0.002252542,0.1666529],"category_scores_gemma":[0.005937891,0.0009093423,0.001301532,0.008467398,0.0004518707,0.002555652,0.002586519,0.00208474,0.2260749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159177,"about_ca_system_score_gemma":0.00228584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212578,"about_ca_topic_score_gemma":0.03644781,"domain_scores_codex":[0.998985,0.0001448372,0.0001194238,0.0003663143,0.000217351,0.0001670302],"domain_scores_gemma":[0.9975393,0.0007295609,0.0002045256,0.000657439,0.0006001416,0.0002690783],"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":[0.00002758875,0.00001227853,0.000360474,0.0004792634,0.00001285121,0.00001537103,0.00002128146,0.0001171763,0.00010629,0.0003389503,0.99718,0.001328634],"study_design_scores_gemma":[0.00007636478,0.000009462451,0.001884524,0.0001987897,0.00001399292,0.00003920185,0.00008002609,0.0001809866,0.000195455,0.0008232101,0.9964787,0.00001931666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004638059,0.0000289108,0.0000492692,0.00004475521,0.0000142386,0.000006625829,0.9986655,0.0004584262,0.0006859894],"genre_scores_gemma":[0.0001754055,0.00003359816,0.0002183939,0.00005466714,0.000004124645,0.00005034118,0.9987977,0.0001610173,0.0005048306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8333471,"threshold_uncertainty_score":0.5575095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}