{"id":"W6924651824","doi":"10.15468/dl.q4vvzn","title":"Occurrence Download","year":2023,"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); Alien; 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":[0.001054486,0.001985907,0.001653186,0.005066588,0.001062124,0.002552682,0.002839654,0.002183336,0.1533691],"category_scores_gemma":[0.006185241,0.000931013,0.00128663,0.01003907,0.0004745884,0.002285911,0.002592203,0.002041527,0.216006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656881,"about_ca_system_score_gemma":0.002542425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363862,"about_ca_topic_score_gemma":0.0379154,"domain_scores_codex":[0.9988973,0.0001511695,0.0001394845,0.0003777954,0.0002495665,0.000184698],"domain_scores_gemma":[0.9973345,0.000788261,0.0002415457,0.0006899777,0.0006552063,0.0002904913],"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":[0.00003173781,0.00001305273,0.0004011025,0.0006135768,0.000015556,0.00001604248,0.00002649227,0.0001290184,0.0001370557,0.0003725899,0.9967778,0.001465985],"study_design_scores_gemma":[0.00007845499,0.000009679831,0.002080406,0.0002249177,0.00001584991,0.00003890711,0.00008512417,0.000146089,0.0002083812,0.0007323778,0.9963612,0.00001865084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004508798,0.00002931014,0.00004064299,0.00003646005,0.00001222208,0.000005676527,0.9988594,0.0003685458,0.0006026667],"genre_scores_gemma":[0.0001547803,0.00003468259,0.0001882945,0.00004531723,0.000003312769,0.00004334849,0.9989526,0.000138896,0.0004387894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466309,"threshold_uncertainty_score":0.5130709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}