{"id":"W6962273104","doi":"10.15468/dl.m4w9zy","title":"Occurrence Download","year":2022,"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); Data file; R package","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":[0.0008829483,0.002041316,0.001581651,0.005143784,0.001056569,0.002783977,0.002853512,0.002139661,0.162936],"category_scores_gemma":[0.005810909,0.0009341741,0.001192508,0.01019974,0.0004494979,0.00240277,0.002602733,0.00203552,0.234916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661664,"about_ca_system_score_gemma":0.002380576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02558209,"about_ca_topic_score_gemma":0.04197703,"domain_scores_codex":[0.9989946,0.0001244341,0.0001188682,0.0003541789,0.000239388,0.0001684912],"domain_scores_gemma":[0.997792,0.0006095385,0.0001944845,0.0005712162,0.0005838004,0.0002489908],"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":[0.00002476154,0.00001048449,0.0003430043,0.0004423605,0.00001282133,0.00001441053,0.00002367727,0.000117054,0.0000969422,0.00036336,0.9971454,0.001405758],"study_design_scores_gemma":[0.0000605977,0.000006826284,0.00162954,0.0001830107,0.0000133212,0.00003775796,0.00008029422,0.0001661502,0.0001847097,0.0007766102,0.9968432,0.00001800824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004142615,0.00002899069,0.00005184158,0.00003700463,0.00001286454,0.00000512178,0.9986356,0.0004772463,0.0007100073],"genre_scores_gemma":[0.0001711939,0.00003501468,0.0002254028,0.00004345542,0.000003629682,0.00004177362,0.9987856,0.0001820267,0.0005119495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.837064,"threshold_uncertainty_score":0.5450752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}