{"id":"W6905951650","doi":"10.15468/dl.vmhtqt","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":[0.001061053,0.001968271,0.001646051,0.005192367,0.001008702,0.002605461,0.002841135,0.002135707,0.1549696],"category_scores_gemma":[0.005946825,0.0009155374,0.001229281,0.01005966,0.0004605093,0.002318107,0.002540295,0.002053705,0.2151697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660677,"about_ca_system_score_gemma":0.00235551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239001,"about_ca_topic_score_gemma":0.03609715,"domain_scores_codex":[0.9989064,0.0001507203,0.0001373259,0.0003771325,0.0002468761,0.0001816632],"domain_scores_gemma":[0.9973789,0.0007717866,0.0002440968,0.0006892278,0.0006209984,0.00029498],"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":[0.00003067658,0.00001251807,0.0003865172,0.0005671931,0.0000156811,0.000015627,0.00002435598,0.0001323067,0.0001284363,0.0003968579,0.9968606,0.001429162],"study_design_scores_gemma":[0.00007418146,0.000008740506,0.002075488,0.0002006591,0.0000152068,0.00003820326,0.0000749618,0.0001475089,0.0002032883,0.0008010298,0.9963424,0.00001848423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004133664,0.0000258784,0.00004162249,0.0000339289,0.00001117519,0.000005030357,0.99889,0.0003426257,0.0006084043],"genre_scores_gemma":[0.0001541777,0.00003184297,0.0001830134,0.00004129275,0.000003284417,0.00004038667,0.9989691,0.0001356373,0.0004413592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8450304,"threshold_uncertainty_score":0.518425,"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."}}