{"id":"W4396475153","doi":"10.15468/dl.ilxawa","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0008950777,0.002134364,0.001597922,0.004943457,0.001062418,0.002595771,0.003087965,0.002047347,0.145269],"category_scores_gemma":[0.00505763,0.0008825117,0.001209353,0.009027251,0.0004376889,0.002317686,0.002623299,0.002094083,0.2349718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164444,"about_ca_system_score_gemma":0.002242545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02664222,"about_ca_topic_score_gemma":0.04350116,"domain_scores_codex":[0.9990181,0.0001220874,0.0001241857,0.0003259692,0.0002411437,0.0001684947],"domain_scores_gemma":[0.9980038,0.0004937935,0.0001709013,0.000549223,0.0005487957,0.0002335257],"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":[0.00002697121,0.00001158215,0.0002954158,0.0004106369,0.00001307554,0.00001654799,0.00002303344,0.0001164436,0.0001093063,0.0003888268,0.997143,0.001445222],"study_design_scores_gemma":[0.0000594162,0.000006785779,0.001494833,0.0001409583,0.00001180822,0.00003895495,0.00006657784,0.0001724487,0.0002016264,0.0007238627,0.9970662,0.00001650852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004751576,0.00002852505,0.00006432475,0.00003570266,0.00001281981,0.000006191555,0.9983283,0.0006491058,0.0008275448],"genre_scores_gemma":[0.000140652,0.00002787895,0.0002060554,0.00003404146,0.00000276737,0.00003271591,0.9989383,0.0001790657,0.0004386092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.854731,"threshold_uncertainty_score":0.4859731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444224130625211,"score_gpt":0.2132964533525142,"score_spread":0.1988542120462621,"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."}}