{"id":"W6943455804","doi":"10.15468/dl.u2ktkh","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Wittgensteinian philosophy and applications","field":"Arts and Humanities","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":[0.0009348344,0.001946278,0.001541385,0.00471004,0.00109899,0.002909249,0.002922042,0.00204764,0.1601718],"category_scores_gemma":[0.005747802,0.0008740441,0.001332701,0.009636873,0.0004522615,0.002525101,0.002802695,0.002108514,0.2642959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167,"about_ca_system_score_gemma":0.002480319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227743,"about_ca_topic_score_gemma":0.03880037,"domain_scores_codex":[0.9989305,0.0001358476,0.000133321,0.0003718708,0.0002422157,0.0001861377],"domain_scores_gemma":[0.99775,0.0005495425,0.0001773348,0.0006461687,0.0006325674,0.0002444533],"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":[0.00002581721,0.00001028479,0.0003629092,0.0004232168,0.00001192587,0.00001519448,0.00002558281,0.0001158715,0.0001002441,0.0004086189,0.9966671,0.001833395],"study_design_scores_gemma":[0.00004628727,0.00000608301,0.001418006,0.0001464073,0.000009812767,0.00003153509,0.00007662731,0.000158198,0.0001759733,0.0007459061,0.9971705,0.00001463319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004870836,0.0000315176,0.00006579539,0.00004630401,0.00001684409,0.000006511999,0.9981877,0.0006713399,0.0009251882],"genre_scores_gemma":[0.0001599806,0.0000366683,0.0002614742,0.00004876257,0.000004075398,0.00004227048,0.9985965,0.0001975394,0.0006528482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8398283,"threshold_uncertainty_score":0.5358279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646692650693721,"score_gpt":0.2201699178057265,"score_spread":0.1837029912987893,"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."}}