{"id":"W6924987398","doi":"10.15468/dl.sn9m93","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); Data set","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":[0.001170944,0.001956843,0.001556175,0.004945289,0.001069713,0.002887202,0.002937037,0.002087136,0.1864626],"category_scores_gemma":[0.006669553,0.0009901503,0.001189436,0.009856694,0.0004472185,0.002588696,0.002702439,0.002050367,0.2450731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642425,"about_ca_system_score_gemma":0.002523592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201062,"about_ca_topic_score_gemma":0.03619825,"domain_scores_codex":[0.99886,0.0001539162,0.0001483758,0.0003999263,0.0002524351,0.0001853431],"domain_scores_gemma":[0.9973731,0.0007464704,0.0002329041,0.0006902177,0.0006544029,0.0003029016],"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":[0.00002585674,0.000009012551,0.0003044773,0.0004521399,0.00001296526,0.00001337929,0.00002117892,0.0001025611,0.00009990404,0.000387725,0.9973481,0.001222726],"study_design_scores_gemma":[0.00006059665,0.000006364143,0.001505402,0.0001707912,0.00001246885,0.00003268305,0.00006207146,0.0001253698,0.0001684612,0.000784183,0.9970551,0.00001656025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003070515,0.00002172853,0.00004616679,0.00003370723,0.0000120101,0.000004576021,0.9988276,0.0003486288,0.0006747974],"genre_scores_gemma":[0.0001353542,0.00002991375,0.0001882457,0.00004590816,0.000003437689,0.00003882126,0.9989032,0.0001662397,0.0004888514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8135374,"threshold_uncertainty_score":0.6237797,"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."}}