{"id":"W6943559523","doi":"10.15468/dl.sa4mr5","title":"Occurrence Download","year":2023,"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; Set (abstract data type)","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":[0.0009528343,0.00197356,0.001614911,0.00481165,0.0009842076,0.002362946,0.002800778,0.002070785,0.1437803],"category_scores_gemma":[0.005447458,0.0009056682,0.001195172,0.009669568,0.0004504004,0.002139887,0.002561491,0.002005582,0.2032846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634945,"about_ca_system_score_gemma":0.00230884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331293,"about_ca_topic_score_gemma":0.03793254,"domain_scores_codex":[0.999047,0.0001257455,0.0001247479,0.0003245492,0.0002149842,0.0001630248],"domain_scores_gemma":[0.9978489,0.0005912977,0.0002070542,0.000569921,0.0005301624,0.000252669],"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":[0.00003045406,0.00001192336,0.0004088556,0.0005869131,0.00001615681,0.00001693458,0.00002905035,0.0001443789,0.0001489397,0.000419476,0.9966639,0.001523022],"study_design_scores_gemma":[0.00007036878,0.000007589333,0.001888206,0.0001924389,0.00001454216,0.0000381989,0.00007749673,0.0001546488,0.000194615,0.0007051241,0.9966393,0.00001743938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004461982,0.00002726254,0.0000469087,0.00003279399,0.00001137042,0.000005215424,0.9988436,0.0003778718,0.0006103705],"genre_scores_gemma":[0.0001604005,0.00003265015,0.0002051875,0.00004012878,0.000002906495,0.00004123632,0.998968,0.0001447447,0.0004047253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8562197,"threshold_uncertainty_score":0.4809929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}