{"id":"W6962088649","doi":"10.15468/dl.q3y3rm","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 exploration; 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":[0.0009138075,0.001917984,0.001539592,0.004634792,0.0009895613,0.002731993,0.002818392,0.002002487,0.1571914],"category_scores_gemma":[0.006137402,0.0009269459,0.001169154,0.009662168,0.0004099278,0.002533082,0.002523081,0.002007438,0.2337474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745546,"about_ca_system_score_gemma":0.002310604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131819,"about_ca_topic_score_gemma":0.03540743,"domain_scores_codex":[0.99896,0.0001372628,0.0001364388,0.0003725114,0.0002358598,0.0001577648],"domain_scores_gemma":[0.9978049,0.0006262292,0.0001877845,0.000578813,0.0005648465,0.0002372899],"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":[0.00002678571,0.00001024034,0.0003505371,0.0005104435,0.00001335261,0.00001326111,0.00002047128,0.0001137613,0.00009277127,0.0003743817,0.9968828,0.001591281],"study_design_scores_gemma":[0.00005861652,0.000006691022,0.00147779,0.0001770179,0.0000119894,0.00003563969,0.00006268779,0.00015781,0.0001665229,0.0007487953,0.9970818,0.00001466536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003871982,0.0000325105,0.00005200636,0.00004074356,0.00001139486,0.000005238404,0.998656,0.0004305358,0.0007327577],"genre_scores_gemma":[0.0001595163,0.00004197838,0.0002201606,0.00005015172,0.000003403812,0.00004135062,0.9987999,0.00015134,0.0005322113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8428086,"threshold_uncertainty_score":0.5258576,"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."}}