{"id":"W6924501588","doi":"10.15468/dl.kgapsm","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nicotinic Acetylcholine Receptors Study","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Identification (biology); 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":[0.0009900215,0.002129811,0.001704193,0.004543851,0.0009797781,0.002643394,0.003100476,0.00220235,0.1210181],"category_scores_gemma":[0.005237522,0.0008513446,0.001232575,0.008216715,0.0004548517,0.002107093,0.002423974,0.002103241,0.1821554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653694,"about_ca_system_score_gemma":0.00221769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931719,"about_ca_topic_score_gemma":0.03253271,"domain_scores_codex":[0.9990584,0.000136213,0.0001199244,0.0003364262,0.0001992909,0.0001497666],"domain_scores_gemma":[0.9980695,0.0005618658,0.000186203,0.0004888776,0.0004485747,0.0002451036],"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":[0.00004451679,0.00001545428,0.0004743004,0.0006817206,0.00002247829,0.00002229958,0.00002393984,0.0001835049,0.0001486294,0.0004516348,0.9963756,0.001555938],"study_design_scores_gemma":[0.0001090402,0.00001008942,0.001889425,0.0001993217,0.00001940003,0.00004985299,0.00006903669,0.0002552618,0.0002472422,0.0009633328,0.9961681,0.00001984506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005020335,0.0000337334,0.0000459197,0.00003736002,0.0000112559,0.00000557353,0.9988626,0.0004262018,0.0005271195],"genre_scores_gemma":[0.0001669456,0.00003540603,0.0001892137,0.00004119952,0.000002909765,0.00003514983,0.9990527,0.0001199471,0.0003564323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8789819,"threshold_uncertainty_score":0.4048459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225282965348794,"score_gpt":0.2376641357304343,"score_spread":0.2254113060769464,"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."}}