{"id":"W6929904215","doi":"10.5203/2mfv-d564","title":"Ecodistrict data explanation","year":2019,"lang":"en","type":"dataset","venue":"UMANCEOS","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Set (abstract data type); Feature (linguistics); Perspective (graphical); Context (archaeology); Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001367765,0.003858121,0.001448258,0.00537241,0.001023454,0.002752601,0.002980197,0.003508186,0.09372352],"category_scores_gemma":[0.00940471,0.0007549393,0.002588779,0.005863723,0.000782316,0.001431706,0.001915511,0.002046232,0.09629367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366981,"about_ca_system_score_gemma":0.003177538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02501324,"about_ca_topic_score_gemma":0.04958008,"domain_scores_codex":[0.9984279,0.0002702195,0.0001817763,0.0005496498,0.0003416829,0.0002288174],"domain_scores_gemma":[0.9968354,0.001224839,0.0002113005,0.0008484233,0.0005771796,0.0003029081],"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":[0.00008349084,0.00004184784,0.0006190331,0.0006578917,0.0000344291,0.00003478841,0.00001946896,0.0006747144,0.000171068,0.0003821371,0.994416,0.002865178],"study_design_scores_gemma":[0.0005445635,0.00005145277,0.002861392,0.0003968151,0.00006916785,0.0001206054,0.0001215421,0.002570172,0.0008834039,0.002894321,0.9894204,0.00006619368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002359169,0.00009790955,0.0001310142,0.00009519921,0.00005852387,0.00002085163,0.9976814,0.0009446603,0.0007344632],"genre_scores_gemma":[0.0006785882,0.00007660434,0.0006724203,0.00007977344,0.00001186091,0.00008916174,0.9974754,0.0001664026,0.0007498028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09372352,"threshold_uncertainty_score":0.3135364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06112502406446547,"score_gpt":0.2723813763218446,"score_spread":0.2112563522573792,"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."}}