{"id":"W6887160533","doi":"10.15468/dl.ue3yud","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008960172,0.001836431,0.001555969,0.004851212,0.001037074,0.002961388,0.002715742,0.001838509,0.1975762],"category_scores_gemma":[0.006086784,0.0009034928,0.001377573,0.009753889,0.0004063276,0.002607166,0.002792617,0.001899794,0.2884701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415562,"about_ca_system_score_gemma":0.002307986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032074,"about_ca_topic_score_gemma":0.0327393,"domain_scores_codex":[0.9989429,0.0001297082,0.0001347245,0.0003755992,0.0002314172,0.0001856946],"domain_scores_gemma":[0.9975461,0.0006355393,0.0001967748,0.0006931335,0.000669464,0.0002588205],"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":[0.00002892234,0.000009212496,0.0004226691,0.0005058212,0.0000146237,0.00001588713,0.00002565441,0.0001216218,0.0001172477,0.0003792429,0.9963504,0.002008601],"study_design_scores_gemma":[0.00004843846,0.000006533058,0.001611634,0.0001553937,0.000012156,0.000033585,0.00007423537,0.000159719,0.000168975,0.0007615517,0.9969516,0.00001599824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004620109,0.00003083311,0.00006884172,0.00004285794,0.0000172301,0.000005981412,0.9981998,0.0006890051,0.0008991721],"genre_scores_gemma":[0.0001928463,0.00004240724,0.0002764667,0.00005384522,0.00000493651,0.00004511572,0.9984441,0.0002664448,0.0006737961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8024238,"threshold_uncertainty_score":0.6609581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}