{"id":"W6906208310","doi":"10.15468/dl.xwfr57","title":"Occurrence Download","year":2022,"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); Alien; Range (aeronautics); 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":[0.001029577,0.001999887,0.001593483,0.004924828,0.001042844,0.002651419,0.002834153,0.002145468,0.16349],"category_scores_gemma":[0.00648897,0.0009153482,0.001270304,0.009042185,0.0004551167,0.002373223,0.002571975,0.002074568,0.2274165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570197,"about_ca_system_score_gemma":0.002355853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02101491,"about_ca_topic_score_gemma":0.03276255,"domain_scores_codex":[0.9989874,0.0001440656,0.0001228044,0.0003598534,0.0002201536,0.00016571],"domain_scores_gemma":[0.9974163,0.0007903891,0.0002136212,0.0006750596,0.0006186336,0.0002860209],"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":[0.00002829234,0.00001189554,0.0003893386,0.0005441811,0.00001440855,0.00001562288,0.00002277084,0.000126721,0.0001204089,0.0003546297,0.9969579,0.001413875],"study_design_scores_gemma":[0.00007863169,0.000009566583,0.001931393,0.0002216996,0.00001601455,0.00004036968,0.00008159374,0.0001832104,0.0002040253,0.0008550792,0.9963592,0.00001918834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004383348,0.00002915743,0.00004777507,0.00004196624,0.00001361474,0.000006273268,0.9987597,0.00043079,0.000626886],"genre_scores_gemma":[0.0001660747,0.00003505913,0.0002107753,0.00005086796,0.000003843685,0.00004921723,0.9988524,0.0001613201,0.0004704264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365099,"threshold_uncertainty_score":0.5469286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}