{"id":"W6943452466","doi":"10.15468/dl.yd4w8a","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":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.001006128,0.001999667,0.001697961,0.005049171,0.0009831641,0.002661991,0.002809544,0.002082941,0.1673796],"category_scores_gemma":[0.006060147,0.0009334721,0.001133608,0.009902027,0.0004521628,0.002414994,0.002630496,0.002002996,0.2214413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154941,"about_ca_system_score_gemma":0.002243586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969077,"about_ca_topic_score_gemma":0.03292105,"domain_scores_codex":[0.9989662,0.0001430066,0.0001337501,0.0003670136,0.0002237519,0.0001663095],"domain_scores_gemma":[0.9975386,0.0007231508,0.0002392742,0.000627242,0.000576069,0.000295756],"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":[0.00003016126,0.000011458,0.0003687998,0.0005924269,0.00001526913,0.00001549198,0.00002411925,0.0001223184,0.000112728,0.0003756578,0.9969885,0.001343095],"study_design_scores_gemma":[0.00008431861,0.000008373966,0.001928354,0.0002070722,0.00001490341,0.00003912446,0.00007480673,0.000144478,0.0001760247,0.000812148,0.996492,0.00001841999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003859415,0.00002705318,0.00004160799,0.00003302615,0.0000103802,0.000004962792,0.9989296,0.0003377054,0.0005771683],"genre_scores_gemma":[0.000164895,0.00003442169,0.0001915312,0.00004593388,0.00000346888,0.00004352027,0.9989253,0.0001435648,0.0004474406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326204,"threshold_uncertainty_score":0.5599406,"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."}}