{"id":"W6962103606","doi":"10.15468/dl.kvpsmm","title":"Occurrence Download","year":2018,"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); Identification (biology)","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":[0.001018968,0.002123204,0.001642871,0.005083456,0.001025588,0.002657304,0.003207887,0.002193902,0.1336797],"category_scores_gemma":[0.006060916,0.0009048877,0.001235283,0.009878666,0.0004628653,0.002449898,0.002702608,0.002160103,0.1930657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714247,"about_ca_system_score_gemma":0.002391782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02421358,"about_ca_topic_score_gemma":0.03922031,"domain_scores_codex":[0.9989259,0.0001432227,0.0001341868,0.0003711514,0.0002497242,0.0001758006],"domain_scores_gemma":[0.997631,0.0006464669,0.0002264521,0.0006471652,0.0005731613,0.0002758421],"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":[0.00002838944,0.00001240749,0.0003865275,0.0004798999,0.00001582211,0.00001616909,0.00002466221,0.0001387708,0.0001043317,0.0004008957,0.9970428,0.001349335],"study_design_scores_gemma":[0.0000784638,0.000008310297,0.001943419,0.0001819079,0.00001516315,0.00004285604,0.00007475545,0.000198054,0.0002000983,0.0008320491,0.9964064,0.00001855565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005359127,0.00003191879,0.00005695585,0.00004224583,0.00001337364,0.000005648878,0.9986271,0.0005064489,0.0006627887],"genre_scores_gemma":[0.0001632967,0.00003075384,0.0001951719,0.00003773793,0.000003198151,0.00003752752,0.9989813,0.0001496755,0.000401302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8663203,"threshold_uncertainty_score":0.4472032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}