{"id":"W6924768601","doi":"10.15468/dl.re3zrt","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); State (computer science); Confidentiality","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":[0.001043871,0.00201268,0.001572676,0.005049262,0.001048174,0.002501786,0.002965994,0.002162274,0.1509284],"category_scores_gemma":[0.005943187,0.0009176824,0.001162694,0.009664857,0.0004831421,0.002391341,0.002607429,0.002131944,0.2052737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604381,"about_ca_system_score_gemma":0.002316241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115477,"about_ca_topic_score_gemma":0.03587884,"domain_scores_codex":[0.9989323,0.0001537386,0.0001339128,0.0003740487,0.0002317043,0.0001741733],"domain_scores_gemma":[0.9974524,0.0007276942,0.0002431142,0.0006909763,0.0005908658,0.0002948808],"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":[0.00002917799,0.00001279682,0.0003821151,0.000521604,0.00001481298,0.00001504727,0.00002527735,0.0001362857,0.0001177131,0.0003895587,0.9969586,0.0013969],"study_design_scores_gemma":[0.00007470919,0.000008412097,0.001805667,0.0001785958,0.00001389583,0.00003832804,0.00007839109,0.0001606739,0.0001859163,0.0007865435,0.9966506,0.000018149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004845471,0.00002800938,0.00005099246,0.0000382955,0.00001352545,0.000005561861,0.9987679,0.0003966897,0.0006505707],"genre_scores_gemma":[0.0001673175,0.0000313506,0.0002109882,0.00004437428,0.000003481358,0.00004285716,0.9989063,0.0001453838,0.0004479598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8490716,"threshold_uncertainty_score":0.5049057,"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."}}