{"id":"W6887290335","doi":"10.15468/dl.xozxpu","title":"Occurrence Download","year":2017,"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); Reference data","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":[0.001063755,0.001950496,0.001656382,0.00513979,0.0009337563,0.002612499,0.003049017,0.002249227,0.1360459],"category_scores_gemma":[0.006755325,0.0008641055,0.001258758,0.009915271,0.0004530695,0.00232772,0.00256668,0.002028348,0.190603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588109,"about_ca_system_score_gemma":0.002425505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849838,"about_ca_topic_score_gemma":0.03140066,"domain_scores_codex":[0.9988602,0.0001619527,0.0001571586,0.0003879187,0.0002474872,0.0001853339],"domain_scores_gemma":[0.9973127,0.0007819181,0.0002621286,0.0007052866,0.0006380755,0.0002998025],"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":[0.00003229756,0.00001295692,0.0004646077,0.0006234401,0.00001970359,0.00001664333,0.00002162988,0.0001526366,0.0001175678,0.0003938948,0.9967393,0.001405337],"study_design_scores_gemma":[0.00009324357,0.0000104677,0.002188311,0.0002423331,0.00001935712,0.00004447093,0.00007085565,0.0001938957,0.0002054935,0.0008644437,0.9960472,0.00001982285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004676071,0.00003460397,0.00004161039,0.00003917761,0.00001244356,0.000005489668,0.9989358,0.0003331707,0.0005510726],"genre_scores_gemma":[0.0001620362,0.00003545917,0.0001564828,0.00004392266,0.000003559027,0.00003690886,0.9991106,0.00009869187,0.0003522681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8639541,"threshold_uncertainty_score":0.4551189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}