{"id":"W6924762961","doi":"10.15468/dl.ncfzu5","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Literature and Cultural Memory","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); 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":[0.0009593483,0.00188531,0.001559265,0.005560422,0.0009996669,0.002629443,0.002768388,0.002094055,0.1371992],"category_scores_gemma":[0.006122859,0.0008166548,0.001108574,0.01110347,0.0004792406,0.002139124,0.002500832,0.001983901,0.1960731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587518,"about_ca_system_score_gemma":0.002309187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060383,"about_ca_topic_score_gemma":0.03572694,"domain_scores_codex":[0.9989781,0.000145733,0.0001426125,0.0003323046,0.0002363549,0.0001647489],"domain_scores_gemma":[0.997603,0.0006879036,0.0002328783,0.0006007044,0.0005990699,0.0002765144],"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":[0.00003107059,0.00001193751,0.0003920842,0.0005864705,0.00001517022,0.00001770081,0.0000261168,0.0001284701,0.000112438,0.0004347971,0.9967428,0.001500933],"study_design_scores_gemma":[0.00006936172,0.000007878041,0.001792192,0.0002035703,0.00001342013,0.00003889768,0.0000768496,0.0001382569,0.0001669525,0.0007560422,0.9967204,0.00001622205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004478118,0.00003245982,0.00003891009,0.00003587825,0.00001128765,0.000005181317,0.9989467,0.000292563,0.0005921704],"genre_scores_gemma":[0.0001617417,0.00003857598,0.0001728416,0.00004194034,0.000003617334,0.00004016018,0.9989843,0.0001064181,0.0004504778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8628008,"threshold_uncertainty_score":0.458977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577724141151987,"score_gpt":0.2095164878952736,"score_spread":0.1837392464837537,"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."}}