{"id":"W6943311613","doi":"10.15468/dl.nkkrvc","title":"Occurrence Download","year":2021,"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); Hericium erinaceus; Range (aeronautics); Data set","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":[0.0009846813,0.001910946,0.0016561,0.004828062,0.0009842039,0.002647958,0.002993273,0.002144062,0.1523571],"category_scores_gemma":[0.005903651,0.0009374575,0.00115981,0.009253616,0.0004392373,0.002492602,0.002526508,0.002057452,0.2154368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559655,"about_ca_system_score_gemma":0.002171435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951803,"about_ca_topic_score_gemma":0.03304988,"domain_scores_codex":[0.9989699,0.0001416456,0.0001355274,0.0003618971,0.0002239301,0.0001671349],"domain_scores_gemma":[0.9975986,0.0006913857,0.0002209679,0.0006221249,0.0005918147,0.0002751806],"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":[0.00002768294,0.00001107511,0.0003430859,0.0005163376,0.00001449406,0.00001444315,0.00002179464,0.000121267,0.0001028714,0.0003741356,0.9970921,0.001360756],"study_design_scores_gemma":[0.00007057645,0.000007716681,0.001699231,0.0001935807,0.00001410872,0.00003675799,0.00007094193,0.000166624,0.0001754957,0.0007912435,0.9967563,0.00001741162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003891629,0.00002714503,0.00004557857,0.00003543044,0.00001160505,0.000005080443,0.9988515,0.0003637929,0.0006209664],"genre_scores_gemma":[0.0001561474,0.00003336879,0.000196356,0.00004305683,0.000003435054,0.00003889839,0.9989576,0.0001395369,0.0004315054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8476429,"threshold_uncertainty_score":0.5096852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}