{"id":"W6887239307","doi":"10.15468/dl.wg2e9y","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":[0.001017174,0.002055811,0.001612528,0.005594963,0.0009788302,0.002718832,0.002703316,0.001999154,0.1633663],"category_scores_gemma":[0.006046157,0.0009154253,0.001186921,0.01062354,0.0004405523,0.002273203,0.002691194,0.001963984,0.2252639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589443,"about_ca_system_score_gemma":0.002479642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02287085,"about_ca_topic_score_gemma":0.03888243,"domain_scores_codex":[0.9988807,0.0001528208,0.0001509184,0.0003748672,0.0002496686,0.0001909948],"domain_scores_gemma":[0.9973024,0.0007372918,0.0002682541,0.0006933637,0.0006737355,0.0003249777],"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":[0.00003083473,0.00001113856,0.0003747777,0.0005641231,0.00001572557,0.00001436162,0.00002188103,0.0001137479,0.0001104419,0.00036055,0.9970238,0.001358653],"study_design_scores_gemma":[0.0000713015,0.000007965867,0.001840445,0.0001911777,0.00001484013,0.00003470814,0.00006317257,0.0001235746,0.0001726312,0.0007280555,0.9967346,0.0000175818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003470726,0.00002411367,0.0000338666,0.00003091677,0.00001006237,0.000004758001,0.9990086,0.0002921585,0.0005609685],"genre_scores_gemma":[0.0001379886,0.00003264346,0.0001612498,0.00004437859,0.000003437719,0.00003710429,0.9990112,0.000127039,0.0004450227],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8366337,"threshold_uncertainty_score":0.5465147,"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."}}