{"id":"W6887371777","doi":"10.15468/dl.xf5c3d","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":[0.0009765364,0.002020225,0.001585376,0.004833048,0.001037409,0.002531225,0.002891107,0.002173176,0.1448846],"category_scores_gemma":[0.005625542,0.000906346,0.001317155,0.009261164,0.0004577573,0.002260165,0.002544813,0.002113872,0.2206193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593833,"about_ca_system_score_gemma":0.002336154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172179,"about_ca_topic_score_gemma":0.03554748,"domain_scores_codex":[0.9989587,0.0001426993,0.0001249619,0.0003653366,0.0002326548,0.0001756237],"domain_scores_gemma":[0.9975968,0.0006830005,0.0002140833,0.0006564927,0.0005714449,0.0002782417],"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":[0.00003025319,0.00001316275,0.0003897556,0.0005026765,0.00001435898,0.00001544847,0.00002347302,0.0001244396,0.0001188036,0.0003497612,0.9969868,0.001430999],"study_design_scores_gemma":[0.00007794917,0.000009918976,0.002082571,0.0002005108,0.00001541616,0.0000409605,0.00008067336,0.0001696746,0.0002103819,0.0007774542,0.9963163,0.00001835942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005201898,0.00002981262,0.00004550106,0.00003999323,0.00001345219,0.00000589872,0.9987412,0.0004211203,0.0006510448],"genre_scores_gemma":[0.0001602425,0.00003242353,0.0001863308,0.00004544276,0.000003361299,0.00004248447,0.9989315,0.0001373537,0.000460895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8551154,"threshold_uncertainty_score":0.4846871,"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."}}