{"id":"W6943812928","doi":"10.15468/dl.y6rs2e","title":"Occurrence Download","year":2015,"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); 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":[0.0008967504,0.001981189,0.001501385,0.004852213,0.0009487876,0.002613873,0.002949581,0.002175911,0.1335334],"category_scores_gemma":[0.006043579,0.0008779663,0.001206437,0.009467179,0.0004207087,0.002361819,0.002422324,0.002049714,0.2009139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702479,"about_ca_system_score_gemma":0.002365586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176679,"about_ca_topic_score_gemma":0.0349367,"domain_scores_codex":[0.9989495,0.0001542229,0.0001360687,0.0003684876,0.0002214793,0.0001702803],"domain_scores_gemma":[0.9977347,0.0006410856,0.0002240742,0.0006009516,0.0005461469,0.0002529817],"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":[0.00002727637,0.00001155563,0.0004117914,0.0004901583,0.00001514063,0.0000134915,0.00002050243,0.0001336978,0.0000808203,0.0003430882,0.9970693,0.001383171],"study_design_scores_gemma":[0.00008099461,0.000009741953,0.00210916,0.0002132746,0.00001651378,0.00004193618,0.00007591554,0.0002328209,0.0001773274,0.0008478764,0.9961767,0.00001776253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005084477,0.00003597864,0.00004555871,0.0000442658,0.00001280787,0.000005575104,0.998821,0.0003815276,0.0006024476],"genre_scores_gemma":[0.0001717392,0.0000372462,0.0001694692,0.00004653019,0.000003521427,0.00003876151,0.9989728,0.0001065793,0.0004533885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8664666,"threshold_uncertainty_score":0.4467138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}