{"id":"W6924469311","doi":"10.15468/dl.m41qdk","title":"Occurrence Download","year":2015,"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); Order (exchange)","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":[0.001058487,0.001928297,0.001626451,0.005724436,0.0009401131,0.00255271,0.002912405,0.001892828,0.1453773],"category_scores_gemma":[0.006002412,0.0009066534,0.001210927,0.01131885,0.0004356002,0.002135718,0.002646101,0.001903611,0.1860331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627667,"about_ca_system_score_gemma":0.002563865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02403895,"about_ca_topic_score_gemma":0.03780729,"domain_scores_codex":[0.9988938,0.0001420475,0.0001527167,0.000368666,0.0002553261,0.0001875821],"domain_scores_gemma":[0.9974871,0.0006687684,0.0002677593,0.0006692009,0.000609154,0.0002980469],"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":[0.00003136287,0.0000115766,0.0004476897,0.0005966012,0.00001967487,0.00001655302,0.00002581287,0.0001322988,0.000131311,0.0004233492,0.9966942,0.001469573],"study_design_scores_gemma":[0.00008062847,0.000008498016,0.002436099,0.0002143894,0.00001835447,0.00004218073,0.0000708846,0.0001429916,0.0002074904,0.0007415134,0.9960182,0.00001883254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004481461,0.00002852752,0.00004034194,0.00003045567,0.0000103672,0.000004874971,0.998931,0.000338263,0.0005713601],"genre_scores_gemma":[0.000147883,0.00003075957,0.0001517347,0.00003507859,0.000002769922,0.00003198032,0.999139,0.0001102422,0.0003505799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546227,"threshold_uncertainty_score":0.4863355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}