{"id":"W6924997057","doi":"10.15468/dl.xycpsw","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","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":[0.0009984372,0.001939754,0.001615584,0.005175375,0.0009914293,0.002569464,0.002758604,0.002158325,0.1504821],"category_scores_gemma":[0.006014447,0.0009018853,0.001270037,0.009631909,0.0004392997,0.002266764,0.002522035,0.00199679,0.2118179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614556,"about_ca_system_score_gemma":0.002327682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02084284,"about_ca_topic_score_gemma":0.03292199,"domain_scores_codex":[0.998964,0.0001429515,0.0001339855,0.0003640324,0.000223585,0.0001714632],"domain_scores_gemma":[0.9974787,0.0007570515,0.0002382773,0.0006537192,0.0005883698,0.0002838843],"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":[0.00003354942,0.00001254272,0.0004380611,0.0006416918,0.0000166428,0.00001679074,0.00002490817,0.0001395433,0.000133439,0.0003874474,0.9966234,0.001531977],"study_design_scores_gemma":[0.00008204219,0.000009891417,0.002156518,0.0002314392,0.00001658242,0.00003986511,0.00007949481,0.0001650254,0.0001931259,0.0007702452,0.9962369,0.00001873402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000432598,0.00002877464,0.00003917706,0.00003662309,0.00001191332,0.00000526027,0.998936,0.0003434106,0.00055563],"genre_scores_gemma":[0.0001629296,0.00003628875,0.0001891482,0.00004604743,0.000003509351,0.00004266012,0.9989623,0.0001304627,0.0004267528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8495179,"threshold_uncertainty_score":0.5034127,"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."}}