{"id":"W6924537515","doi":"10.15468/dl.m6ej9h","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Identification (biology)","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":[0.0008509881,0.002065276,0.001481379,0.005037968,0.0008511583,0.002569565,0.002869341,0.001916653,0.1144889],"category_scores_gemma":[0.005586854,0.0008561547,0.001273516,0.01021177,0.0003944241,0.002251508,0.002267829,0.001926604,0.1690895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900784,"about_ca_system_score_gemma":0.002714446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592197,"about_ca_topic_score_gemma":0.04363786,"domain_scores_codex":[0.9988971,0.0001493761,0.0001588144,0.0003865852,0.0002383182,0.000169815],"domain_scores_gemma":[0.9979644,0.0005390059,0.0002034837,0.0005078506,0.0005410367,0.0002443025],"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":[0.00003759587,0.00001380362,0.0005013925,0.0005832505,0.00001765087,0.00001782271,0.00002148362,0.0001767692,0.0001080578,0.000500778,0.9962463,0.001775106],"study_design_scores_gemma":[0.00007734673,0.000008835576,0.001751565,0.0001701533,0.00001432933,0.00004149103,0.00005639864,0.0002309997,0.0001772361,0.0008427201,0.996613,0.0000159322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005399591,0.00003541341,0.00004623301,0.00003922596,0.0000109093,0.000005399856,0.9987122,0.0003908926,0.0007057313],"genre_scores_gemma":[0.0001593487,0.00004369633,0.000194896,0.00004216723,0.000002913212,0.00003271144,0.9989228,0.0001117982,0.0004895725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.885511,"threshold_uncertainty_score":0.3830037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755264039368875,"score_gpt":0.1977370736814568,"score_spread":0.1801844332877681,"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."}}