{"id":"W6962428356","doi":"10.15468/dl.yq5p6d","title":"Occurrence Download","year":2024,"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":[0.0009324739,0.001868543,0.001565351,0.005035655,0.001074998,0.003018925,0.002815832,0.001858596,0.2014697],"category_scores_gemma":[0.006373966,0.0009339845,0.001372944,0.009688985,0.0004157947,0.002705428,0.002868131,0.001936193,0.2882571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464541,"about_ca_system_score_gemma":0.002351406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061274,"about_ca_topic_score_gemma":0.03287685,"domain_scores_codex":[0.9989212,0.0001329762,0.000135341,0.0003826948,0.0002359167,0.0001918597],"domain_scores_gemma":[0.997453,0.0006608813,0.0002083701,0.0007136333,0.0006977858,0.0002664065],"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":[0.00002781384,0.000009282342,0.0004174814,0.0004834883,0.00001416668,0.00001588855,0.00002506921,0.000117754,0.0001142551,0.0003789654,0.9964947,0.001901191],"study_design_scores_gemma":[0.00004903252,0.000006509709,0.001546457,0.0001506624,0.00001195498,0.00003281888,0.00007482152,0.0001562111,0.0001691037,0.0007658844,0.9970207,0.0000158216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004762803,0.000030284,0.0000692362,0.00004612253,0.00001806201,0.000006223229,0.9981165,0.0007231458,0.0009428339],"genre_scores_gemma":[0.0001926336,0.00004066603,0.0002765322,0.00005483732,0.000005161356,0.00004489851,0.998412,0.000271688,0.0007016482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7985303,"threshold_uncertainty_score":0.6739833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}