{"id":"W6924705317","doi":"10.15468/dl.vhah23","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":"Matching (statistics); Download; Alien; Range (aeronautics); Homonym (biology)","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":[0.0009231159,0.002032907,0.001546495,0.004665147,0.0009760076,0.002456908,0.002694055,0.001964487,0.1591698],"category_scores_gemma":[0.005729679,0.000915989,0.001238289,0.009000599,0.0004342245,0.002206312,0.002489922,0.001904932,0.2118966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549102,"about_ca_system_score_gemma":0.002292133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091478,"about_ca_topic_score_gemma":0.033453,"domain_scores_codex":[0.9990152,0.0001355473,0.0001227066,0.0003602288,0.000204299,0.000162094],"domain_scores_gemma":[0.997786,0.0006545415,0.0002083316,0.0005608926,0.0005417725,0.0002484215],"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":[0.00003277333,0.00001245951,0.0003921918,0.0005963847,0.00001542698,0.00001523549,0.00002245325,0.0001292891,0.0001402064,0.000365671,0.9967893,0.001488435],"study_design_scores_gemma":[0.00008018681,0.00001075311,0.001976815,0.0002038899,0.00001599019,0.00003908261,0.00006742888,0.0001674306,0.0002136965,0.0007834255,0.9964224,0.00001889971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004470167,0.00002954189,0.00004296446,0.00003559933,0.00001246262,0.00000550747,0.9988367,0.0003879367,0.0006046371],"genre_scores_gemma":[0.0001582811,0.0000367227,0.0001990207,0.00004944351,0.000003549156,0.00004552032,0.99888,0.0001471043,0.0004804865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8408302,"threshold_uncertainty_score":0.5324759,"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."}}