{"id":"W6905662942","doi":"10.15468/dl.qgtexb","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); Range (aeronautics); Set (abstract data type); 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":[0.001039213,0.001943201,0.001549811,0.005027264,0.001032655,0.002626714,0.002846274,0.001978268,0.1599776],"category_scores_gemma":[0.006245668,0.0009384598,0.001123774,0.01007758,0.0004393451,0.002245008,0.002578163,0.002025918,0.2262466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652877,"about_ca_system_score_gemma":0.002420816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0235985,"about_ca_topic_score_gemma":0.03946485,"domain_scores_codex":[0.9989535,0.0001367354,0.0001331732,0.0003626825,0.0002451097,0.0001689043],"domain_scores_gemma":[0.9974916,0.0007124716,0.0002339523,0.0006541637,0.0006171092,0.0002907683],"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":[0.00002635853,0.00001023875,0.0003645381,0.0004727927,0.00001389753,0.00001474457,0.00002431793,0.0001096009,0.0001120408,0.0003806311,0.9971904,0.001280333],"study_design_scores_gemma":[0.00006343609,0.000006966862,0.001829367,0.0001757358,0.00001379666,0.00003682536,0.00007278035,0.000137048,0.0001897813,0.000711202,0.9967458,0.00001714418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003788493,0.0000220493,0.00004307684,0.0000316213,0.00001049333,0.00000448414,0.9988558,0.0003559277,0.0006385416],"genre_scores_gemma":[0.0001479782,0.00002801559,0.00018201,0.00003749007,0.00000292698,0.00003733586,0.9989654,0.0001524186,0.0004465636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8400224,"threshold_uncertainty_score":0.5351783,"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."}}