{"id":"W6962177159","doi":"10.15468/dl.w7npqf","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); 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":[0.001093358,0.0019374,0.001507492,0.00484355,0.0009796886,0.002573051,0.002744692,0.001971102,0.1514954],"category_scores_gemma":[0.006257012,0.0009075294,0.001120492,0.009105153,0.0004602618,0.002019504,0.002321555,0.001974055,0.1993908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707398,"about_ca_system_score_gemma":0.002468269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02481101,"about_ca_topic_score_gemma":0.03918335,"domain_scores_codex":[0.9989766,0.0001503497,0.0001359344,0.0003501111,0.0002272638,0.0001598621],"domain_scores_gemma":[0.9975242,0.0007800347,0.0002297698,0.000590287,0.000597098,0.0002787024],"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":[0.00003168208,0.00001142158,0.0004473895,0.0005064917,0.00001569867,0.00001866302,0.00002573319,0.0001389172,0.0001069161,0.0004371346,0.9968779,0.001381974],"study_design_scores_gemma":[0.0000773517,0.000007242158,0.001997572,0.0002007677,0.00001418201,0.00004336159,0.00007642094,0.0001572661,0.0001809889,0.0008523722,0.996375,0.00001750543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003829881,0.00002390242,0.00004392513,0.00003435448,0.000009451321,0.000004723644,0.9989058,0.000330224,0.0006092789],"genre_scores_gemma":[0.0001511385,0.0000318323,0.0001875281,0.00004233091,0.000002986878,0.00003581679,0.9990003,0.0001366665,0.000411434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8485046,"threshold_uncertainty_score":0.5068026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799640330987559,"score_gpt":0.2372738748553303,"score_spread":0.2192774715454547,"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."}}