{"id":"W6961893438","doi":"10.15468/dl.lxkvcn","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); Data set; 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":[0.0008228818,0.001979864,0.001571597,0.00486409,0.0009411967,0.002553817,0.002877468,0.002031205,0.1538684],"category_scores_gemma":[0.005736314,0.0008754857,0.001191458,0.01003312,0.0004150075,0.002239543,0.002519129,0.001925132,0.2120944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814975,"about_ca_system_score_gemma":0.002371942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02986219,"about_ca_topic_score_gemma":0.05014902,"domain_scores_codex":[0.999074,0.0001170268,0.0001125287,0.0003128393,0.0002220695,0.0001614903],"domain_scores_gemma":[0.9977521,0.0006070651,0.0002056737,0.0005571667,0.0006240198,0.0002539664],"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":[0.00002648428,0.00001073581,0.0004130333,0.000518019,0.00001482391,0.00001463672,0.00002425178,0.0001402505,0.0001017489,0.0003615839,0.9968725,0.001501953],"study_design_scores_gemma":[0.00007423911,0.000008337154,0.00210997,0.0002233023,0.00001543644,0.00003947779,0.00008484374,0.000203832,0.0001903879,0.0007676094,0.9962642,0.00001853296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004844601,0.0000333104,0.00004689641,0.00003551793,0.00001136567,0.000004805835,0.9987344,0.0004441467,0.0006410601],"genre_scores_gemma":[0.0001825624,0.00003722275,0.0002006571,0.00003872791,0.000003202179,0.00003481378,0.9989105,0.0001426323,0.000449586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8461316,"threshold_uncertainty_score":0.5147411,"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."}}