{"id":"W6924532871","doi":"10.15468/dl.nw3xzc","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Ophiostoma; Alien","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":[0.0009785136,0.001921997,0.001484805,0.004593637,0.0009806644,0.002597749,0.002729028,0.002135357,0.1425459],"category_scores_gemma":[0.006061816,0.0008193365,0.001293352,0.008657202,0.00043891,0.00214042,0.002318359,0.001982145,0.215619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666632,"about_ca_system_score_gemma":0.002481865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02360738,"about_ca_topic_score_gemma":0.03939946,"domain_scores_codex":[0.9989913,0.0001536626,0.0001354478,0.0003441056,0.0002178541,0.0001576612],"domain_scores_gemma":[0.9976557,0.0007123918,0.0002063489,0.0005764345,0.0005893771,0.0002596918],"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":[0.00003152444,0.00001264489,0.0004086173,0.0005206433,0.00001413936,0.00001702732,0.00002207931,0.0001233662,0.00009637336,0.0003654521,0.9969524,0.001435701],"study_design_scores_gemma":[0.00007875133,0.000009447975,0.001878894,0.0002049833,0.00001495973,0.00004339255,0.00007556077,0.0001721093,0.000182322,0.000806023,0.9965162,0.00001734009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004374744,0.0000336264,0.00004151317,0.00004774538,0.00001261759,0.000006357417,0.9987845,0.0003528286,0.0006770864],"genre_scores_gemma":[0.0001591597,0.00004100976,0.0001822601,0.00005421172,0.000004017847,0.00004237474,0.9989004,0.0001123103,0.0005041795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8574541,"threshold_uncertainty_score":0.4768636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470408536382111,"score_gpt":0.2648543484811857,"score_spread":0.2401502631173646,"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."}}