{"id":"W4395892296","doi":"10.15468/dl.bw6fkr","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0008812694,0.001884203,0.001403702,0.004420976,0.0008898221,0.00228521,0.002661939,0.001773847,0.1298731],"category_scores_gemma":[0.005328204,0.0007815522,0.001155786,0.008292465,0.0004119447,0.002076423,0.002234759,0.001906219,0.2081321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491562,"about_ca_system_score_gemma":0.002201881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02151114,"about_ca_topic_score_gemma":0.03987502,"domain_scores_codex":[0.9990663,0.0001386323,0.0001075056,0.0003372945,0.0002043993,0.0001459359],"domain_scores_gemma":[0.9978266,0.0005999985,0.0002014078,0.000562744,0.000557619,0.0002516095],"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":[0.00002468209,0.00001042595,0.0003887301,0.0003937029,0.00001335241,0.00001289293,0.00001852839,0.0001320712,0.00008502227,0.0002937696,0.9971331,0.001493696],"study_design_scores_gemma":[0.00006668852,0.000009245879,0.002106649,0.0001638255,0.00001571448,0.00004206673,0.00007279274,0.0002491848,0.0002054607,0.0008923621,0.9961572,0.00001879386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005613178,0.00003292285,0.00006594396,0.0000419622,0.00001352911,0.000006532027,0.9984963,0.0005784275,0.000708167],"genre_scores_gemma":[0.0001959782,0.00003310758,0.0002485229,0.00005022453,0.000004045899,0.00004614649,0.998737,0.0001625404,0.0005224649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8701268,"threshold_uncertainty_score":0.4344689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444058827107769,"score_gpt":0.2195476045756477,"score_spread":0.20510701630457,"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."}}