{"id":"W4395778697","doi":"10.15468/dl.9m9rah","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0009802436,0.00189252,0.00158932,0.004516185,0.0009489296,0.002530082,0.002753369,0.002130435,0.151143],"category_scores_gemma":[0.005905532,0.0008718785,0.001134157,0.008900672,0.0004208379,0.002407609,0.002318776,0.002053986,0.2086457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630235,"about_ca_system_score_gemma":0.002115437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945825,"about_ca_topic_score_gemma":0.03281901,"domain_scores_codex":[0.9989552,0.0001485846,0.0001338862,0.0003667138,0.0002269353,0.0001686617],"domain_scores_gemma":[0.9976422,0.0006763494,0.0002278292,0.0005820474,0.0005958673,0.0002756039],"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":[0.00002971077,0.00001191918,0.0003675155,0.0004903795,0.00001380836,0.00001397252,0.00001913532,0.0001282358,0.0001015888,0.0003492501,0.99722,0.001254309],"study_design_scores_gemma":[0.00008532184,0.000008273213,0.001872943,0.0001861732,0.00001411828,0.00003553085,0.00006663821,0.0001908433,0.000180083,0.0008005761,0.9965418,0.0000176757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003931758,0.00002445749,0.00004056263,0.00003554111,0.00001100307,0.00000498667,0.9989611,0.0003035225,0.0005794677],"genre_scores_gemma":[0.0001613987,0.00003113856,0.0001774925,0.00004680219,0.000003736889,0.00004160058,0.9989746,0.0001197484,0.0004436756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.848857,"threshold_uncertainty_score":0.5056237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}