{"id":"W2161793276","doi":"10.1177/1558689813486190","title":"Unexpected but Most Welcome","year":2013,"lang":"en","type":"article","venue":"Journal of Mixed Methods Research","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Stakeholder; Participatory evaluation; Measure (data warehouse); Citizen journalism; Computer science; Nothing; Process (computing); Multimethodology; Management science; Process management; Data science; Sociology; Public relations; Political science; Business; Engineering; Social science; Data mining; World Wide Web; Epistemology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.08092692,0.0001080958,0.0004052183,0.00140055,0.0002639675,0.0005474431,0.001353338,0.00009984719,0.01369364],"category_scores_gemma":[0.02303025,0.00006503562,0.0001640452,0.002449046,0.0001759497,0.0008588111,0.0002342721,0.0009859635,0.001355206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467317,"about_ca_system_score_gemma":0.0008134454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007241668,"about_ca_topic_score_gemma":0.00001093694,"domain_scores_codex":[0.9848286,0.007426386,0.001343833,0.0002310602,0.005713933,0.0004562245],"domain_scores_gemma":[0.9811134,0.009564945,0.0005166724,0.0005717558,0.007845482,0.0003877433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005905168,0.0001284496,0.004578287,0.000005350154,0.00004228227,0.00001248757,0.0004603599,0.0001068814,0.1050521,0.0008788792,0.1195996,0.7690763],"study_design_scores_gemma":[0.002280389,0.001442689,0.3061579,0.00008571713,0.0000189906,0.0002228715,0.01569896,0.01543765,0.08609302,0.144232,0.4279792,0.0003506523],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8402962,0.000700548,0.1141085,0.0151382,0.002154096,0.0004410205,0.000002911966,0.00001260016,0.02714593],"genre_scores_gemma":[0.5158321,0.0002179514,0.4617166,0.0002494887,0.0008061575,0.00002574167,8.716128e-7,0.00002230421,0.02112879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7687256,"threshold_uncertainty_score":0.9994224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6298937978534725,"score_gpt":0.7019491751601077,"score_spread":0.07205537730663514,"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."}}