{"id":"W6906157108","doi":"10.15468/dl.qy9qez","title":"Occurrence Download","year":2016,"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 set; Data exploration","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":[0.0009594195,0.001952416,0.001523886,0.005031722,0.0008479301,0.002416649,0.002755447,0.001933736,0.1236423],"category_scores_gemma":[0.005460782,0.0008124514,0.001131632,0.009786777,0.0004131125,0.002099937,0.002584979,0.001861322,0.1821445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593778,"about_ca_system_score_gemma":0.002322934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041167,"about_ca_topic_score_gemma":0.03472165,"domain_scores_codex":[0.9989763,0.0001375935,0.0001406733,0.0003435386,0.0002289459,0.0001728515],"domain_scores_gemma":[0.997691,0.0005617042,0.0002560857,0.0006283866,0.0005687125,0.0002941033],"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":[0.00003671982,0.00001376914,0.000497775,0.000613097,0.00001839785,0.00001729711,0.00002460752,0.0001407989,0.0001364463,0.0004028296,0.9965581,0.001540053],"study_design_scores_gemma":[0.00008728638,0.000009480293,0.002347426,0.0002008354,0.0000157859,0.00004130213,0.00006724205,0.0001518723,0.0002098259,0.000730964,0.9961208,0.00001725745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004947018,0.00002790628,0.00003494578,0.00003127979,0.000009866973,0.000005228449,0.9989937,0.0003014602,0.0005462432],"genre_scores_gemma":[0.0001625655,0.00003173889,0.0001537613,0.00003707713,0.000003124731,0.00003586209,0.9991026,0.00009599207,0.0003773368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8763577,"threshold_uncertainty_score":0.4136246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}