{"id":"W6962190916","doi":"10.15468/dl.wtnr6j","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)","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":[0.0008777083,0.002006902,0.001425054,0.004676501,0.000939784,0.002317647,0.002576686,0.001866197,0.1546968],"category_scores_gemma":[0.005548294,0.000872503,0.001185288,0.009521918,0.0004367636,0.002120382,0.002451013,0.001782001,0.2099012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420898,"about_ca_system_score_gemma":0.002254441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0204055,"about_ca_topic_score_gemma":0.03394066,"domain_scores_codex":[0.999038,0.000127389,0.000119859,0.0003498616,0.0002000818,0.000164884],"domain_scores_gemma":[0.997767,0.0006240106,0.0002135152,0.000588827,0.0005430843,0.0002635698],"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":[0.00003166677,0.00001156028,0.0004073628,0.0004884588,0.00001374001,0.0000143311,0.00002072284,0.0001290931,0.0001231264,0.0003485736,0.9969484,0.001462971],"study_design_scores_gemma":[0.00007606979,0.0000108106,0.002015474,0.0001722465,0.00001438291,0.00003920045,0.00006916128,0.0001569707,0.0002046191,0.0007776701,0.9964451,0.00001832148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005219222,0.00002696796,0.00004204671,0.0000346244,0.00001358282,0.000005093908,0.9987844,0.0003837643,0.0006573767],"genre_scores_gemma":[0.0001703859,0.00003261754,0.0001904724,0.00004551227,0.000003720128,0.00003896042,0.9988769,0.0001463435,0.0004951324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453032,"threshold_uncertainty_score":0.5175123,"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."}}