{"id":"W6887362757","doi":"10.15468/dl.yavm8g","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009164878,0.002059593,0.001545688,0.004852847,0.000967538,0.002476886,0.00263908,0.001954465,0.1572567],"category_scores_gemma":[0.005842489,0.0009194699,0.001221583,0.009522185,0.0004361585,0.002205977,0.002506789,0.001800643,0.2135343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477024,"about_ca_system_score_gemma":0.002267906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023477,"about_ca_topic_score_gemma":0.03258764,"domain_scores_codex":[0.9989724,0.0001355549,0.0001340937,0.0003726527,0.0002123478,0.0001729811],"domain_scores_gemma":[0.9976565,0.0006735725,0.0002250415,0.000593444,0.0005830357,0.0002684596],"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":[0.00003484016,0.00001210632,0.0004232505,0.000579909,0.00001544521,0.00001571931,0.00002219925,0.0001325167,0.0001337682,0.0003652028,0.9967707,0.001494325],"study_design_scores_gemma":[0.00008151406,0.00001100031,0.002021705,0.0001920313,0.00001617312,0.00004036204,0.00006972819,0.0001620481,0.0002084699,0.000793303,0.9963844,0.00001922357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004739417,0.00002690495,0.00004066411,0.00003252604,0.00001216024,0.000004958109,0.9988343,0.0003855473,0.00061551],"genre_scores_gemma":[0.0001661874,0.00003319018,0.0001879223,0.00004483054,0.000003492956,0.00003847174,0.9989362,0.0001446585,0.0004449855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8427433,"threshold_uncertainty_score":0.5260761,"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."}}