{"id":"W6943564298","doi":"10.15468/dl.lwpxlv","title":"Occurrence Download","year":2020,"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); Data set","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":[0.0009814267,0.001831272,0.001473654,0.005341343,0.00090805,0.00247022,0.002671022,0.001910159,0.1577549],"category_scores_gemma":[0.005958772,0.0008611965,0.001113262,0.01054665,0.0004461984,0.002312157,0.002545963,0.001808905,0.2114249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580996,"about_ca_system_score_gemma":0.002333163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239876,"about_ca_topic_score_gemma":0.03748886,"domain_scores_codex":[0.9989663,0.0001409244,0.0001400289,0.0003516585,0.0002277398,0.000173289],"domain_scores_gemma":[0.9974178,0.0006884886,0.000250016,0.0006795816,0.0006561984,0.000307905],"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":[0.0000337073,0.00001095662,0.0003803746,0.0005937301,0.00001506123,0.00001588251,0.00002442558,0.0001246057,0.000126827,0.0004281448,0.9966326,0.001613563],"study_design_scores_gemma":[0.00006237123,0.00000755084,0.001844688,0.0001777286,0.00001252889,0.0000347173,0.00006375285,0.0001230191,0.0001668998,0.0007348988,0.9967553,0.00001644653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003771095,0.00002427054,0.00003809411,0.00003123246,0.000009930744,0.000004530114,0.9989519,0.0003044802,0.0005978388],"genre_scores_gemma":[0.0001483933,0.00003233855,0.0001746952,0.00004179619,0.000003262626,0.00003436625,0.9990127,0.0001203889,0.0004320044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842245,"threshold_uncertainty_score":0.5277429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}