{"id":"W6887168237","doi":"10.15468/dl.r7gyad","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":[0.0009245693,0.001872773,0.001539248,0.004668589,0.001056569,0.002987024,0.00277447,0.001891788,0.1927463],"category_scores_gemma":[0.006121267,0.0009386887,0.001397183,0.009137373,0.0004120985,0.002625827,0.002794298,0.001952918,0.2912021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144923,"about_ca_system_score_gemma":0.002305605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002211,"about_ca_topic_score_gemma":0.03168419,"domain_scores_codex":[0.9989437,0.0001312005,0.000133055,0.0003782315,0.0002301306,0.000183672],"domain_scores_gemma":[0.9975646,0.0006276922,0.0001945369,0.0007019656,0.000658078,0.0002531971],"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":[0.00002835019,0.000009467035,0.0004034339,0.0004914861,0.00001413703,0.00001582186,0.00002505403,0.0001165461,0.0001220979,0.0003919211,0.9965013,0.001880364],"study_design_scores_gemma":[0.00004781846,0.0000063776,0.001492332,0.0001483656,0.00001152243,0.0000322745,0.00007122116,0.0001511344,0.0001753536,0.0007553088,0.997093,0.00001536444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004646522,0.00003013124,0.00006912254,0.00004502524,0.00001778387,0.000006335027,0.9981204,0.0007346454,0.0009300615],"genre_scores_gemma":[0.0001874098,0.00004010059,0.000269939,0.00005557946,0.000004984366,0.00004438265,0.9984556,0.0002685507,0.0006733564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8072537,"threshold_uncertainty_score":0.6448007,"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."}}