{"id":"W6886961451","doi":"10.15468/dl.k8jv8q","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); Set (abstract data type); 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":[0.001111272,0.001890526,0.001642979,0.005126092,0.001037046,0.002768329,0.002900543,0.002060598,0.1665552],"category_scores_gemma":[0.006611098,0.001009713,0.00114907,0.01043523,0.0004528489,0.002368668,0.002645077,0.00204598,0.2276454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583585,"about_ca_system_score_gemma":0.002433738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095042,"about_ca_topic_score_gemma":0.03505718,"domain_scores_codex":[0.998868,0.0001546605,0.0001510688,0.0003919234,0.0002542388,0.0001800785],"domain_scores_gemma":[0.997299,0.0007833781,0.0002560717,0.0007004842,0.0006593211,0.0003017472],"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":[0.00002844036,0.00001100051,0.0003726456,0.0005533485,0.00001497357,0.0000147698,0.00002512327,0.0001152088,0.0001135749,0.0004083569,0.9970096,0.00133301],"study_design_scores_gemma":[0.00006782256,0.000007141576,0.001751114,0.00019825,0.00001400542,0.00003477078,0.00007450641,0.0001314444,0.0001794768,0.0007673329,0.9967571,0.00001706921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003685834,0.00002354387,0.00004441891,0.00003254775,0.0000107241,0.000004777017,0.998915,0.0003271497,0.000605125],"genre_scores_gemma":[0.0001518833,0.00003193301,0.0001998054,0.00004198543,0.000003248338,0.00004138235,0.9989269,0.0001524806,0.0004502788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8334448,"threshold_uncertainty_score":0.5571827,"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."}}