{"id":"W6887300294","doi":"10.15468/dl.ytvd68","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":"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":[0.0009218626,0.001932874,0.001602731,0.004955022,0.001107464,0.00300385,0.002815654,0.001931048,0.1939307],"category_scores_gemma":[0.006238181,0.0009450418,0.001383803,0.009690737,0.0004216181,0.002606339,0.002907587,0.001977268,0.2808871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483109,"about_ca_system_score_gemma":0.00240549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141608,"about_ca_topic_score_gemma":0.03366225,"domain_scores_codex":[0.9989035,0.0001322983,0.0001360185,0.0003944791,0.0002414067,0.0001923726],"domain_scores_gemma":[0.9974808,0.0006509122,0.0002016331,0.0007082103,0.0006941627,0.0002642165],"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":[0.0000288123,0.000009795797,0.0004190794,0.0005140824,0.00001465608,0.00001643723,0.00002668458,0.0001203267,0.0001248751,0.0003910955,0.9964329,0.001901211],"study_design_scores_gemma":[0.00005005934,0.000006607956,0.001580282,0.0001572705,0.00001200407,0.00003358301,0.00007583639,0.0001525991,0.0001745433,0.0007287785,0.9970124,0.00001608884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004781183,0.00003164772,0.00006803823,0.00004443897,0.00001770419,0.000006229315,0.9981812,0.0007069886,0.0008959472],"genre_scores_gemma":[0.0001825707,0.00003995154,0.0002615464,0.00005228559,0.000004682452,0.00004395013,0.9985235,0.0002518349,0.0006397253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8060693,"threshold_uncertainty_score":0.6487627,"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."}}