{"id":"W6905964241","doi":"10.15468/dl.xnsjx5","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":"Matching (statistics); Download; 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":[0.0009139816,0.002032758,0.001484454,0.004570867,0.000931738,0.002375415,0.002614216,0.001907684,0.1516627],"category_scores_gemma":[0.005679371,0.000899779,0.001221312,0.009102671,0.0004260107,0.002176318,0.002448887,0.001789542,0.2030838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456109,"about_ca_system_score_gemma":0.002230008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201362,"about_ca_topic_score_gemma":0.03301324,"domain_scores_codex":[0.9990035,0.0001351649,0.0001275646,0.0003629228,0.0002054844,0.0001655214],"domain_scores_gemma":[0.9977234,0.0006564254,0.0002138619,0.0005902029,0.000555407,0.0002606379],"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":[0.00003356742,0.00001241024,0.0004132153,0.0005341343,0.00001509381,0.00001492966,0.00002052006,0.0001378724,0.000128666,0.0003572467,0.9968396,0.001492727],"study_design_scores_gemma":[0.00008190035,0.00001125748,0.002051547,0.0001848372,0.00001591447,0.00004018738,0.00006664194,0.0001712631,0.0002140248,0.0008001516,0.996343,0.00001925268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005051438,0.00002730069,0.00004296284,0.00003413312,0.00001273284,0.000005297575,0.9988037,0.000394968,0.0006283323],"genre_scores_gemma":[0.0001671418,0.0000326326,0.0001898498,0.0000464143,0.000003456454,0.00003994895,0.9989235,0.0001419699,0.0004551442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8483373,"threshold_uncertainty_score":0.5073624,"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."}}