{"id":"W6905975881","doi":"10.15468/dl.rgph3d","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); 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":[0.0009500761,0.001884548,0.001530158,0.004817279,0.0009639927,0.002378433,0.00271882,0.00175643,0.15922],"category_scores_gemma":[0.005346891,0.0008504551,0.001119725,0.01016353,0.0004199022,0.002090657,0.002370289,0.001810672,0.2186768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717142,"about_ca_system_score_gemma":0.002562178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03426874,"about_ca_topic_score_gemma":0.05869138,"domain_scores_codex":[0.999061,0.0001194892,0.0001157012,0.0003180794,0.000220373,0.0001654486],"domain_scores_gemma":[0.9976889,0.0006104641,0.0002012087,0.0005888512,0.0006449348,0.0002655388],"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":[0.00002669725,0.00000971268,0.0003639117,0.0004551715,0.00001416152,0.00001370107,0.00002162212,0.0001237383,0.0001124033,0.0003438589,0.9971229,0.00139202],"study_design_scores_gemma":[0.00006318429,0.000007133257,0.001999303,0.00017271,0.00001371412,0.00003328731,0.00007101413,0.000150989,0.0002029714,0.0007652901,0.9965022,0.00001825952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003592209,0.00002019624,0.00004045623,0.00002555987,0.000008491018,0.000004501785,0.998935,0.0003422832,0.0005875264],"genre_scores_gemma":[0.0001442965,0.00002664692,0.0001810377,0.0000338168,0.000002722528,0.00003437316,0.999022,0.0001396293,0.0004154219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.84078,"threshold_uncertainty_score":0.532644,"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."}}