{"id":"W6962382806","doi":"10.15468/dl.tc42j2","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; Set (abstract data type)","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":[0.0009218921,0.002053753,0.001624321,0.004842082,0.001083278,0.002652125,0.002878096,0.002301836,0.1651413],"category_scores_gemma":[0.006202688,0.0009493903,0.00134109,0.009829258,0.0004479687,0.002513538,0.002610871,0.002066242,0.2422473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737063,"about_ca_system_score_gemma":0.002441698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275779,"about_ca_topic_score_gemma":0.03826426,"domain_scores_codex":[0.9989352,0.0001407553,0.0001449179,0.0003544911,0.0002420755,0.0001826163],"domain_scores_gemma":[0.9976617,0.0006604638,0.0002014822,0.0005841492,0.0006441519,0.0002480872],"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":[0.0000313987,0.00001103193,0.0003935202,0.0006075391,0.00001508707,0.00001753114,0.00002351669,0.0001464678,0.0001260261,0.0003986988,0.9965268,0.00170237],"study_design_scores_gemma":[0.00007242965,0.000007956339,0.001572197,0.0002031733,0.0000131917,0.00004019351,0.00007722607,0.000179487,0.0001865195,0.0007909132,0.9968382,0.00001849276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004436043,0.00003221936,0.00005525849,0.00003963045,0.00001383969,0.000005407031,0.9985507,0.000496534,0.000762084],"genre_scores_gemma":[0.0001647872,0.00003742446,0.0002456137,0.0000479169,0.000003558195,0.0000402282,0.9988332,0.0001670655,0.0004600904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348587,"threshold_uncertainty_score":0.5524527,"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."}}