{"id":"W6905905378","doi":"10.15468/dl.k7eqt9","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)","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":[0.0009039131,0.0020818,0.001480454,0.004538147,0.0009448383,0.00232879,0.002628392,0.001976825,0.1463091],"category_scores_gemma":[0.005616145,0.0008651022,0.001238999,0.008996837,0.0004317673,0.002078395,0.00237915,0.001804523,0.2024463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444533,"about_ca_system_score_gemma":0.002260963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107815,"about_ca_topic_score_gemma":0.03493855,"domain_scores_codex":[0.9989958,0.000137279,0.0001259097,0.0003670334,0.0002061095,0.0001678012],"domain_scores_gemma":[0.9977311,0.0006490227,0.0002180274,0.0005892889,0.0005540611,0.0002585177],"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":[0.00003284377,0.00001262533,0.0004219444,0.0005122048,0.00001486193,0.000014022,0.00001985276,0.0001387364,0.0001210866,0.0003250587,0.9969397,0.001447255],"study_design_scores_gemma":[0.00008891742,0.00001240764,0.002134553,0.000189432,0.00001708791,0.00004011355,0.00007099724,0.0001962019,0.0002195901,0.0008269915,0.9961833,0.00002019983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005181812,0.00002798646,0.00004037763,0.00003514441,0.00001326155,0.00000540608,0.9988711,0.0003725824,0.0005822128],"genre_scores_gemma":[0.0001714937,0.00003272904,0.0001927611,0.00004687517,0.00000375331,0.00004222587,0.9989096,0.0001299359,0.0004706759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8536909,"threshold_uncertainty_score":0.4894526,"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."}}