{"id":"W6962027033","doi":"10.15468/dl.xkgkf7","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); 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":[0.0009966082,0.002018333,0.001584502,0.004999456,0.00101099,0.002619803,0.002828335,0.002127839,0.1536411],"category_scores_gemma":[0.00605018,0.000901247,0.00128406,0.009330248,0.0004520333,0.002296926,0.002537426,0.002035057,0.2206456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543485,"about_ca_system_score_gemma":0.002309285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077911,"about_ca_topic_score_gemma":0.03293603,"domain_scores_codex":[0.9989779,0.0001435494,0.0001295824,0.0003633819,0.0002195837,0.0001660489],"domain_scores_gemma":[0.9975623,0.0007270435,0.0002113217,0.0006440337,0.0005896527,0.0002656748],"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":[0.0000300102,0.00001326276,0.0004278818,0.000591081,0.00001602565,0.0000168687,0.00002515266,0.000136625,0.0001279662,0.0003674132,0.9967578,0.001489887],"study_design_scores_gemma":[0.00007703176,0.000009889776,0.00206568,0.0002160075,0.00001630309,0.00004152759,0.00008385044,0.0001868324,0.0002050573,0.0008166661,0.9962618,0.00001943884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004512926,0.00002927915,0.00004584301,0.00003844764,0.00001324439,0.000005930769,0.9988362,0.000390271,0.0005957015],"genre_scores_gemma":[0.0001603798,0.0000345179,0.0001970799,0.00004634329,0.000003676158,0.00004687106,0.998924,0.0001378737,0.0004493805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463589,"threshold_uncertainty_score":0.5139807,"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."}}