{"id":"W6943623223","doi":"10.15468/dl.tked43","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); Set (abstract data type); 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":[0.00111052,0.001941798,0.001599347,0.005250793,0.0009955458,0.002702875,0.002834346,0.002070892,0.1585707],"category_scores_gemma":[0.006606418,0.0009644322,0.001130371,0.01011084,0.0004550391,0.002343721,0.002583953,0.002004456,0.2180771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665018,"about_ca_system_score_gemma":0.002470941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02140304,"about_ca_topic_score_gemma":0.03432091,"domain_scores_codex":[0.9988453,0.0001580029,0.0001579186,0.0003999868,0.0002561605,0.0001826619],"domain_scores_gemma":[0.9972194,0.0008124703,0.0002746458,0.0007129415,0.000663211,0.0003172831],"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":[0.00002882201,0.00001066278,0.000375342,0.0005482177,0.00001496977,0.00001521293,0.00002344001,0.000121365,0.000111299,0.000383322,0.9970785,0.001288764],"study_design_scores_gemma":[0.00007573263,0.000008059756,0.001906366,0.0002043031,0.00001490496,0.0000395058,0.00007663968,0.0001490267,0.000182447,0.0007379955,0.9965869,0.00001799436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000360776,0.00002380809,0.00004005307,0.0000338408,0.00001049654,0.000004650809,0.9989895,0.0003168103,0.0005448385],"genre_scores_gemma":[0.0001530821,0.00003207518,0.0001794909,0.00004115221,0.00000325087,0.00003891682,0.9990023,0.0001340241,0.0004157439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414292,"threshold_uncertainty_score":0.5304719,"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."}}