{"id":"W6961937983","doi":"10.15468/dl.tytrp6","title":"Occurrence Download","year":2023,"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); Alien; Range (aeronautics); R package","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":[0.001053898,0.00191663,0.001613976,0.005167922,0.000971607,0.002647341,0.002781451,0.002060782,0.1648566],"category_scores_gemma":[0.006016431,0.0009252526,0.001205293,0.01031963,0.0004504618,0.002261914,0.002523707,0.002009775,0.2299367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602235,"about_ca_system_score_gemma":0.002404478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195482,"about_ca_topic_score_gemma":0.03515199,"domain_scores_codex":[0.9989449,0.000148646,0.0001373909,0.0003602943,0.0002325098,0.0001762587],"domain_scores_gemma":[0.997339,0.0007792274,0.0002508859,0.00067927,0.0006546804,0.0002969962],"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":[0.00002819904,0.00001150327,0.0003598815,0.0005565076,0.00001538155,0.00001395818,0.00002321912,0.0001157579,0.0001135314,0.0003660473,0.9970114,0.001384606],"study_design_scores_gemma":[0.00007162445,0.000008075367,0.001874904,0.0002065254,0.00001491419,0.00003360125,0.00007390418,0.000129832,0.0001851392,0.0007523231,0.9966317,0.00001749465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003555898,0.00002388898,0.00003865616,0.00003151108,0.00001060545,0.000004845132,0.9989805,0.00030238,0.0005720223],"genre_scores_gemma":[0.0001440583,0.00003272299,0.0001773726,0.00004197209,0.000003282208,0.00004201162,0.9989791,0.000134098,0.000445502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351434,"threshold_uncertainty_score":0.5515002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}