{"id":"W6887280606","doi":"10.15468/dl.vkyqul","title":"Occurrence Download","year":2018,"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); 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":[0.0009216241,0.002056669,0.001544454,0.00524032,0.0009541733,0.002599319,0.00285312,0.00202948,0.1417736],"category_scores_gemma":[0.005686365,0.0008085696,0.001193125,0.01009086,0.000428136,0.00221439,0.002627731,0.002023828,0.2118615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590721,"about_ca_system_score_gemma":0.00243366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02235367,"about_ca_topic_score_gemma":0.03827992,"domain_scores_codex":[0.9989737,0.0001359144,0.0001321604,0.0003391297,0.0002370711,0.0001819577],"domain_scores_gemma":[0.9976745,0.0005775993,0.0002291343,0.0006273224,0.0006030999,0.0002882984],"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":[0.00002969615,0.00001126084,0.000372655,0.0004960494,0.00001558054,0.00001402332,0.00002047236,0.000120802,0.0001036726,0.0003664932,0.9970657,0.001383696],"study_design_scores_gemma":[0.00007297834,0.000008080719,0.001853668,0.0001823816,0.00001422442,0.00003520981,0.00006114817,0.0001517166,0.0001773202,0.0007523621,0.9966743,0.00001652134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004216316,0.00002947766,0.00003753761,0.00003485206,0.00001167599,0.000005153147,0.9988747,0.0003573706,0.0006070116],"genre_scores_gemma":[0.0001438321,0.00003166488,0.0001527628,0.00003905772,0.000003475858,0.00003229934,0.9990942,0.0001082489,0.0003943281],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8582264,"threshold_uncertainty_score":0.47428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}