{"id":"W7020774333","doi":"","title":"MBGL Summary - French","year":2020,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Manitoba","keywords":"Exposition (narrative); Government (linguistics); Agency (philosophy); Subject (documents); Work (physics)","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001117241,0.00101534,0.0004114661,0.002651468,0.001828777,0.002045654,0.001079834,0.001144876,0.1738164],"category_scores_gemma":[0.003503224,0.0003054293,0.0004381744,0.004110667,0.0006927301,0.00101367,0.00116723,0.001150613,0.03598846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01051054,"about_ca_system_score_gemma":0.009584611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4763441,"about_ca_topic_score_gemma":0.5104604,"domain_scores_codex":[0.9991993,0.0001776281,0.00005197013,0.0001263817,0.0003050821,0.0001396832],"domain_scores_gemma":[0.9984416,0.0002069026,0.00007811472,0.00008524629,0.001112729,0.0000753607],"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":[0.00003066589,0.000007570734,0.0003059475,0.0002550734,0.000003696556,0.00006429941,0.0002609857,0.0001231649,0.0001224868,0.01126204,0.9762625,0.01130148],"study_design_scores_gemma":[0.000006858356,0.000004031243,0.001972531,0.0001004579,0.000002359164,0.0000305843,0.0001793358,0.00003122588,0.00008134273,0.0004330454,0.9971532,0.000004949763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004806985,0.0248844,0.002791147,0.06114456,0.01973238,0.0004487913,0.1350567,0.00130031,0.7498347],"genre_scores_gemma":[0.03486194,0.009291668,0.003892203,0.009981119,0.002757246,0.0007825422,0.04830324,0.0007077575,0.8894222],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4763441,"threshold_uncertainty_score":0.947143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395525337796349,"score_gpt":0.2046014557585834,"score_spread":0.18064620238062,"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."}}