{"id":"W6924756571","doi":"10.15468/dl.trkhuh","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; Set (abstract data type)","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":[0.001107147,0.001917999,0.001650503,0.005347266,0.001051122,0.002814972,0.002871385,0.002019979,0.1866197],"category_scores_gemma":[0.006504661,0.0009808415,0.001113537,0.01056079,0.0004585434,0.0024948,0.002712705,0.00203575,0.2485325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592802,"about_ca_system_score_gemma":0.002409094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072698,"about_ca_topic_score_gemma":0.03408253,"domain_scores_codex":[0.9988843,0.0001497151,0.0001463825,0.0003932726,0.0002484081,0.0001780557],"domain_scores_gemma":[0.9973893,0.0007738391,0.0002481149,0.000659726,0.0006359367,0.0002931017],"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":[0.00002758995,0.000009723926,0.000338048,0.0005384172,0.00001420669,0.00001466703,0.00002554331,0.0001035857,0.000114445,0.0004057305,0.9970301,0.001377875],"study_design_scores_gemma":[0.0000603896,0.00000628989,0.001565911,0.0001839159,0.00001319076,0.00003353935,0.00006965804,0.0001099957,0.0001680018,0.0007222944,0.9970503,0.00001642659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003374325,0.000023901,0.00004610485,0.00003176464,0.00001092915,0.000004529797,0.9988363,0.0003398406,0.0006728072],"genre_scores_gemma":[0.0001489103,0.00003415524,0.0002001915,0.0000417726,0.000003433403,0.00004131768,0.9988459,0.0001821808,0.0005021125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8133803,"threshold_uncertainty_score":0.624305,"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."}}