{"id":"W6906183224","doi":"10.15468/dl.vzhavc","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); Sample (material)","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":[0.00109512,0.001897892,0.001613094,0.005006568,0.0009993484,0.002579732,0.002823775,0.002126557,0.1536977],"category_scores_gemma":[0.006379289,0.0009181726,0.001157139,0.009742989,0.0004529959,0.002286945,0.00248953,0.002067794,0.2029826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583329,"about_ca_system_score_gemma":0.002330631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01998651,"about_ca_topic_score_gemma":0.03275013,"domain_scores_codex":[0.9988976,0.0001613059,0.0001425994,0.0003835736,0.0002349704,0.0001799617],"domain_scores_gemma":[0.9973164,0.0008077406,0.0002641525,0.0006950809,0.0006156285,0.0003009906],"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":[0.00002937811,0.00001190328,0.0004054473,0.0005395798,0.00001593563,0.00001369818,0.00002283908,0.0001402414,0.0001094198,0.0003899485,0.9969387,0.00138294],"study_design_scores_gemma":[0.00008000969,0.000008725554,0.001975469,0.0002077212,0.00001609206,0.00003716218,0.0000742224,0.0001737643,0.0001874603,0.0008459893,0.9963743,0.00001909296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004156454,0.00002675436,0.00004453164,0.00003590195,0.0000119974,0.00000501712,0.9989472,0.0003236601,0.0005633712],"genre_scores_gemma":[0.0001654205,0.00003310023,0.0001958616,0.00004595945,0.000003590685,0.00004321038,0.9989354,0.000133878,0.0004435258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463023,"threshold_uncertainty_score":0.5141699,"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."}}