{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06033761,0.001584965,0.001343337,0.001619861,0.00446457,0.01168614,0.003665127,0.006320995,0.02939492],"category_scores_gemma":[0.223655,0.0006931818,0.001664488,0.001413953,0.009782088,0.01519108,0.01393503,0.01763143,0.01934903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003473243,"about_ca_system_score_gemma":0.005334257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006745684,"about_ca_topic_score_gemma":0.00158513,"domain_scores_codex":[0.9174917,0.04432769,0.002195978,0.008875917,0.0240146,0.003094091],"domain_scores_gemma":[0.8373398,0.05884472,0.009519971,0.02768589,0.04956755,0.0170421],"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":[0.0004635311,0.0001230842,0.003533753,0.001392555,0.0002263195,0.001510373,0.008717137,0.0002907558,0.004646562,0.1236349,0.5901389,0.2653221],"study_design_scores_gemma":[0.00004456681,0.0001149324,0.001225821,0.001130693,0.00005296404,0.001720977,0.006355627,0.000532261,0.002080357,0.08636391,0.9002463,0.0001316219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006361025,0.01410769,0.07720593,0.6964036,0.1439157,0.0003374198,0.0005709038,0.0015607,0.05953696],"genre_scores_gemma":[0.175341,0.01185689,0.1476517,0.3748783,0.1014084,0.001447583,0.001254416,0.003764894,0.1823968],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06033761,"threshold_uncertainty_score":0.3190997,"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."}}