{"id":"W6887387594","doi":"10.15468/dl.y8qvd7","title":"Occurrence Download","year":2022,"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); Alien; Range (aeronautics); The Internet","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":[0.0009628838,0.002000042,0.001586227,0.00507437,0.001016966,0.002656826,0.002653534,0.00212147,0.1756527],"category_scores_gemma":[0.006647915,0.0008961068,0.001301483,0.009250922,0.0004322426,0.002552466,0.00266345,0.001973761,0.2338746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529597,"about_ca_system_score_gemma":0.00228491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164948,"about_ca_topic_score_gemma":0.03323389,"domain_scores_codex":[0.9989416,0.0001487255,0.0001353892,0.0003792652,0.0002218953,0.0001731133],"domain_scores_gemma":[0.9972475,0.0008435265,0.000235795,0.0007145554,0.0006608608,0.0002977679],"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":[0.0000291127,0.00001126731,0.0003754602,0.0005464111,0.00001387268,0.00001524353,0.0000231643,0.0001175113,0.0001016394,0.0003265564,0.9970091,0.001430649],"study_design_scores_gemma":[0.00007362399,0.000009660092,0.001910323,0.0002180955,0.00001502169,0.00003853464,0.00008345603,0.0001724233,0.0001781693,0.0007711737,0.9965109,0.0000185133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004371923,0.00002915916,0.000044126,0.00004446941,0.00001430064,0.000006064858,0.9987669,0.0004349203,0.0006163742],"genre_scores_gemma":[0.0001725546,0.00003839569,0.0002087369,0.00005554495,0.000004448024,0.00004706299,0.9987925,0.0001661261,0.0005144707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8243473,"threshold_uncertainty_score":0.5876169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}