{"id":"W6962207484","doi":"10.15468/xzmld6","title":"Ontario BioBlitz Species Records","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":"Watershed; Resource (disambiguation); Biodiversity; Public use; Fauna; Flagship species","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":[],"consensus_categories":[],"category_scores_codex":[0.0007587152,0.001389285,0.001041831,0.006524876,0.002061793,0.002197984,0.002268252,0.0008581096,0.08072714],"category_scores_gemma":[0.004750031,0.0007889535,0.0005794443,0.0141729,0.0004927046,0.001695274,0.002179273,0.001236432,0.07581931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008351536,"about_ca_system_score_gemma":0.01194598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7284765,"about_ca_topic_score_gemma":0.8622042,"domain_scores_codex":[0.9989826,0.00005022749,0.0000716053,0.0002397129,0.000439743,0.0002160409],"domain_scores_gemma":[0.9963444,0.0002094993,0.0003450703,0.000580109,0.002057224,0.0004636633],"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":[0.00002612116,0.00000469689,0.001354325,0.0002020053,0.000008107453,0.00001472283,0.00005042352,0.0000681294,0.00009174328,0.000482056,0.9955374,0.002160287],"study_design_scores_gemma":[0.00002713968,0.000003040424,0.009434239,0.0001311723,0.000007912446,0.00002285454,0.0001029573,0.000151204,0.0001404873,0.0003440481,0.989614,0.00002099674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001853058,0.00004098839,0.00004141887,0.00003864239,0.00001040461,0.000008281371,0.9976147,0.0001407809,0.0019195],"genre_scores_gemma":[0.0005908413,0.00006513983,0.0002460145,0.00001917847,0.000004025784,0.00004508357,0.9968728,0.00006283181,0.002094065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2715235,"threshold_uncertainty_score":0.546245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239787920240985,"score_gpt":0.212811849353704,"score_spread":0.1904139701512942,"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."}}