{"id":"W6962199524","doi":"10.15468/dl.xn4tta","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); Confidentiality; Range (aeronautics); Data collection","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":[0.0009623542,0.001926922,0.001618653,0.005449763,0.0009856058,0.002560738,0.002714139,0.001960081,0.1521782],"category_scores_gemma":[0.005517981,0.0009072929,0.00112462,0.01064789,0.0004381893,0.002225919,0.002636246,0.001947794,0.2116663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561786,"about_ca_system_score_gemma":0.002384653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037614,"about_ca_topic_score_gemma":0.03437237,"domain_scores_codex":[0.9989109,0.0001436896,0.0001400179,0.0003603389,0.0002506897,0.0001944031],"domain_scores_gemma":[0.9975999,0.0006313622,0.0002416634,0.0006284209,0.0006014598,0.0002971125],"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":[0.00003362267,0.00001200414,0.0004108372,0.0006036264,0.00001650593,0.00001608962,0.0000242905,0.0001276946,0.0001479762,0.0004210903,0.9966737,0.001512675],"study_design_scores_gemma":[0.00007126038,0.000008516952,0.001939497,0.0001960794,0.00001442397,0.00003744548,0.00007068789,0.0001287512,0.0002073035,0.000701395,0.9966074,0.00001724799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004146897,0.00002747595,0.00003686678,0.00002987733,0.00001016299,0.000004895841,0.9989256,0.0003152467,0.0006082876],"genre_scores_gemma":[0.0001483835,0.00003348921,0.0001537069,0.00004030138,0.000003060249,0.00003470212,0.9990789,0.0001145791,0.0003927939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478218,"threshold_uncertainty_score":0.5090868,"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."}}