{"id":"W6924478441","doi":"10.15468/dl.ua8pre","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Psychology Research and Bibliometrics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Identification (biology); Filter (signal processing)","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":[0.0009660674,0.001752615,0.00142758,0.006431079,0.001091907,0.002822323,0.002583289,0.002130618,0.1442008],"category_scores_gemma":[0.007271908,0.0008424617,0.001115593,0.01242708,0.0004495078,0.002009163,0.002452255,0.001999754,0.1881943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802363,"about_ca_system_score_gemma":0.002601649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948797,"about_ca_topic_score_gemma":0.03622393,"domain_scores_codex":[0.9990018,0.0001372345,0.0001531704,0.0003106281,0.0002469525,0.000150186],"domain_scores_gemma":[0.9972661,0.0008785917,0.0002701986,0.0006165474,0.0006642244,0.0003043643],"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":[0.00002830779,0.00001483547,0.0004096718,0.000660025,0.00001484556,0.00001674731,0.00002715535,0.0001021399,0.0001033511,0.0004309473,0.9964819,0.001710006],"study_design_scores_gemma":[0.00009182765,0.000008463041,0.002148119,0.0002203871,0.00001559477,0.00004182888,0.00008471483,0.0001579241,0.0001679627,0.0008622132,0.996185,0.00001591845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005239877,0.00003726158,0.00004247123,0.00004671969,0.00001078992,0.000007537436,0.9987726,0.0003199673,0.0007102797],"genre_scores_gemma":[0.0001935138,0.00004997978,0.0002276063,0.00005114321,0.000004295609,0.00006331499,0.9987826,0.0001123195,0.000515247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8557992,"threshold_uncertainty_score":0.4823998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06373987277402245,"score_gpt":0.3413349592714613,"score_spread":0.2775950864974389,"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."}}