{"id":"W6887023601","doi":"10.15468/dl.l2hvml","title":"Occurrence Download","year":2016,"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":[0.001005194,0.001944212,0.001619199,0.005057318,0.0009958878,0.002708621,0.002988988,0.001959582,0.1503771],"category_scores_gemma":[0.006210005,0.0009212773,0.001192276,0.01077559,0.0004396124,0.002662096,0.002824268,0.002131237,0.2252288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161267,"about_ca_system_score_gemma":0.0024932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304523,"about_ca_topic_score_gemma":0.04051951,"domain_scores_codex":[0.9988589,0.000160307,0.0001424126,0.000398594,0.0002578159,0.000181958],"domain_scores_gemma":[0.9973199,0.0006896386,0.0002536908,0.0007684749,0.0006604381,0.0003078768],"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":[0.00002390962,0.000009707487,0.0003478139,0.0004409148,0.00001326474,0.00001278683,0.00002291391,0.0001114369,0.00008408364,0.0004099064,0.9972391,0.001284118],"study_design_scores_gemma":[0.00005564619,0.000006327082,0.001492779,0.0001650343,0.00001141966,0.00003072857,0.00006457022,0.0001312585,0.000148151,0.0008160588,0.9970626,0.00001536444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004007521,0.00002739705,0.00004793333,0.00003706828,0.00001241097,0.000004879143,0.9987195,0.0004127256,0.0006979879],"genre_scores_gemma":[0.0001429097,0.00003373522,0.0001872974,0.00004014827,0.000003262408,0.00003475329,0.9989043,0.0001527831,0.0005008369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8496229,"threshold_uncertainty_score":0.5030615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}