{"id":"W6906274722","doi":"10.15468/dl.zf6tty","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); Abies balsamea; Column (typography)","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":[0.00095809,0.001927785,0.001655887,0.005234219,0.0009483917,0.002488594,0.002948249,0.002085963,0.1338263],"category_scores_gemma":[0.005795904,0.0008318488,0.001191626,0.009975576,0.0004308081,0.002262214,0.002512935,0.001999885,0.1928949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014942,"about_ca_system_score_gemma":0.00227107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01922526,"about_ca_topic_score_gemma":0.03300758,"domain_scores_codex":[0.9989516,0.0001410882,0.0001380404,0.0003613667,0.0002362819,0.0001716385],"domain_scores_gemma":[0.997654,0.0006343466,0.0002326735,0.0006110007,0.000598469,0.0002695194],"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":[0.0000311785,0.00001310973,0.0004388156,0.0005780457,0.00001807051,0.00001698163,0.00002303367,0.0001400258,0.000120657,0.000374414,0.9967183,0.001527316],"study_design_scores_gemma":[0.00007762117,0.000009280586,0.002212086,0.0002185604,0.00001703963,0.00004360428,0.00007150627,0.0001678411,0.0001952424,0.0007891409,0.9961798,0.00001841012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004879124,0.00003473617,0.00004287258,0.00003499839,0.00001152095,0.000005196577,0.9989208,0.0003366551,0.000564479],"genre_scores_gemma":[0.0001599572,0.00003341776,0.0001648764,0.00003849282,0.000003344459,0.00003499922,0.9990947,0.000100825,0.0003694521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8661737,"threshold_uncertainty_score":0.4476935,"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."}}