{"id":"W6961974647","doi":"10.15468/dl.bw8zkh","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); State (computer science)","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":[0.0009788875,0.002090095,0.001779666,0.004733944,0.001052791,0.00271026,0.00316387,0.002275762,0.1383474],"category_scores_gemma":[0.005474865,0.0009098233,0.001188635,0.009351004,0.0004841764,0.002271605,0.002538068,0.002169391,0.2170508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698127,"about_ca_system_score_gemma":0.002388253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936417,"about_ca_topic_score_gemma":0.03265911,"domain_scores_codex":[0.9990496,0.0001273612,0.0001160013,0.0003398198,0.0002100659,0.0001570949],"domain_scores_gemma":[0.9980014,0.0005536908,0.0001887804,0.0005132566,0.0004866563,0.0002561468],"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":[0.00003772746,0.0000144176,0.0004135855,0.0006380655,0.00001800102,0.00001898356,0.00002353674,0.0001763265,0.0001587386,0.0004494273,0.9964162,0.001634867],"study_design_scores_gemma":[0.00008248861,0.000008476933,0.001580556,0.0001946074,0.00001540462,0.00003924788,0.00006509064,0.0001946731,0.0002221738,0.000857052,0.9967226,0.00001756933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004516475,0.00003213733,0.00004648472,0.00003377919,0.00001039325,0.000005431358,0.9988108,0.0003935774,0.0006222909],"genre_scores_gemma":[0.0001541377,0.00003660616,0.000208239,0.00004064514,0.000002717397,0.00003705455,0.9989876,0.0001272021,0.0004057565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8616526,"threshold_uncertainty_score":0.4628181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007976846531990657,"score_gpt":0.2124909563629784,"score_spread":0.2045141098309877,"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."}}