{"id":"W6924861584","doi":"10.15468/dl.urzxjt","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000481433,0.0002827523,0.0004799409,0.000177639,0.0006220415,0.0001157716,0.0007155448,0.0003290445,0.08769765],"category_scores_gemma":[0.0001247613,0.0003720302,0.0002351168,0.0004601189,0.0001096509,0.0008965407,0.0008529086,0.0004220745,0.247127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006682141,"about_ca_system_score_gemma":0.00007994051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849578,"about_ca_topic_score_gemma":0.00001484701,"domain_scores_codex":[0.9983802,0.00002112648,0.0007634661,0.0003618436,0.0001233366,0.0003500557],"domain_scores_gemma":[0.9984331,0.00000992261,0.0007859425,0.0005998238,0.00007164239,0.00009953509],"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":[0.00003392912,0.00005426833,0.001910137,0.00009204166,0.00001708217,0.000002840261,0.00006135889,0.000007205414,1.70647e-8,0.00001525357,0.9973189,0.0004870002],"study_design_scores_gemma":[0.0003107139,0.00004863807,0.0001517968,0.000001135002,0.000009930585,0.000003216845,0.0000507079,1.096006e-7,7.176216e-7,0.00004128903,0.9989933,0.0003884444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003680612,0.0003104691,0.00001694355,0.0001692899,0.001336786,0.0003028853,0.9967085,0.0000548307,0.0007322373],"genre_scores_gemma":[0.00001699755,0.0005549038,0.000001257418,0.000845313,0.000002497135,0.00001019392,0.998568,2.868351e-8,8.291027e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1594293,"threshold_uncertainty_score":0.9998732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162661869322748,"score_gpt":0.2005834875660433,"score_spread":0.1789568688728158,"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."}}