{"id":"W6943246192","doi":"10.15468/dl.k7mhcc","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); 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":[0.001046922,0.002006821,0.001643198,0.005106442,0.001008726,0.002646632,0.002877773,0.002095149,0.1636038],"category_scores_gemma":[0.006202506,0.0009601228,0.001168166,0.01013937,0.0004630437,0.002385491,0.00260738,0.002079171,0.2250179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556631,"about_ca_system_score_gemma":0.002332146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954644,"about_ca_topic_score_gemma":0.03336047,"domain_scores_codex":[0.9989209,0.0001522847,0.0001365071,0.0003813218,0.0002381621,0.0001708487],"domain_scores_gemma":[0.9973257,0.0007618281,0.0002492438,0.0007228465,0.0006368038,0.0003036647],"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":[0.0000284019,0.000011887,0.0003669764,0.0005280249,0.00001464389,0.00001424368,0.00002345881,0.0001262357,0.0001088532,0.0003764165,0.9970648,0.001336158],"study_design_scores_gemma":[0.00007618108,0.00000799572,0.001779759,0.0001809467,0.00001341946,0.00003413435,0.00007309583,0.0001432486,0.0001783833,0.0008060004,0.9966893,0.00001772905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003998448,0.00002374195,0.00004362816,0.00003299281,0.00001102459,0.000005127382,0.9989046,0.0003494876,0.0005895155],"genre_scores_gemma":[0.0001568262,0.00003062568,0.0002003126,0.00004169755,0.000003384213,0.00004325232,0.9989129,0.0001465938,0.0004643783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8363962,"threshold_uncertainty_score":0.5473093,"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."}}