{"id":"W6905768580","doi":"10.15468/dl.mtnszr","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); State (computer science); 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":[0.001039692,0.001992736,0.001546749,0.005110882,0.001019428,0.00255094,0.002889541,0.002094403,0.1599655],"category_scores_gemma":[0.005931497,0.0009228398,0.001163077,0.009837493,0.000481112,0.002429993,0.002593082,0.002081465,0.2182508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582233,"about_ca_system_score_gemma":0.002257774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202441,"about_ca_topic_score_gemma":0.03464447,"domain_scores_codex":[0.9989401,0.0001550048,0.0001348355,0.000376727,0.0002235391,0.000169926],"domain_scores_gemma":[0.9973919,0.0007560774,0.0002414283,0.0007030909,0.0006185707,0.000288729],"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":[0.00002730692,0.00001195708,0.0003709063,0.0005269538,0.00001440746,0.0000145516,0.00002468344,0.0001266493,0.0001109853,0.0003735951,0.9970536,0.001344287],"study_design_scores_gemma":[0.00006982672,0.000007758199,0.001719886,0.000180235,0.00001344138,0.00003667796,0.00007854686,0.0001478128,0.0001746966,0.0007723069,0.9967813,0.00001741944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004315175,0.00002637099,0.00004774168,0.00003599994,0.00001269221,0.000005506613,0.9988299,0.0003574642,0.0006412388],"genre_scores_gemma":[0.0001649572,0.00003211544,0.0002076352,0.0000446231,0.000003577378,0.00004482771,0.9988952,0.0001439122,0.0004631384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8400345,"threshold_uncertainty_score":0.535138,"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."}}