{"id":"W6962059719","doi":"10.15468/dl.wcfhjr","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":[0.0009370276,0.001889398,0.00151193,0.00489826,0.0008688544,0.002352768,0.002806275,0.001902303,0.1240797],"category_scores_gemma":[0.005616951,0.0007913298,0.001131992,0.009766608,0.000410413,0.002268119,0.002439303,0.001911873,0.1863007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574375,"about_ca_system_score_gemma":0.002185667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059367,"about_ca_topic_score_gemma":0.03375506,"domain_scores_codex":[0.9990172,0.0001342097,0.0001238965,0.0003405766,0.0002214132,0.0001627691],"domain_scores_gemma":[0.9977911,0.0005761818,0.0002265382,0.0005898506,0.0005415552,0.0002747241],"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":[0.00002941733,0.0000121856,0.0004326664,0.0004856858,0.00001518487,0.00001428779,0.00002238142,0.0001347361,0.0001022991,0.0003711087,0.9969596,0.001420526],"study_design_scores_gemma":[0.00007818501,0.000009489342,0.002270296,0.0001984251,0.00001510354,0.00004298603,0.00007381436,0.0001917629,0.0001810833,0.0008023484,0.9961193,0.00001715233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000547694,0.00003377322,0.000043373,0.00003870524,0.00001295651,0.000005053146,0.9988334,0.0003581156,0.0006199174],"genre_scores_gemma":[0.0001671791,0.000034545,0.0001617155,0.0000374017,0.000003514936,0.00003449644,0.9990276,0.0001083009,0.0004252806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8759203,"threshold_uncertainty_score":0.4150879,"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."}}