{"id":"W2165455251","doi":"10.1142/s0219649212500232","title":"Improving Municipal Information and Knowledge Management Capabilities: Case Study","year":2012,"lang":"en","type":"article","venue":"Journal of Information & Knowledge Management","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Maturity (psychological); Knowledge management; Context (archaeology); Capability Maturity Model; Process (computing); Process management; Business; Computer science; Political science","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":[0.002133846,0.0003453977,0.0003624219,0.001573627,0.004524341,0.002645239,0.001154141,0.002425347,0.002165161],"category_scores_gemma":[0.007684367,0.0002268021,0.0003542134,0.00597836,0.001269044,0.001533207,0.002455516,0.001001549,0.0004555143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005815073,"about_ca_system_score_gemma":0.003885117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06153455,"about_ca_topic_score_gemma":0.08920756,"domain_scores_codex":[0.9967776,0.001646452,0.0001667245,0.0001567149,0.0005720123,0.0006805016],"domain_scores_gemma":[0.9953018,0.00183504,0.0007432693,0.0005136412,0.0007433129,0.0008628651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001286661,0.01136953,0.2795298,0.002626036,0.0002802807,0.117287,0.2278223,0.04292335,0.01570578,0.03676639,0.01787244,0.2465305],"study_design_scores_gemma":[0.000318428,0.004563605,0.2807667,0.0006203831,0.000372553,0.0178732,0.42081,0.03202834,0.02130665,0.006124827,0.2149538,0.0002616674],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883464,0.0002239622,0.0008439149,0.0006129763,0.000007066919,0.0001536722,0.0001420784,0.00004007884,0.009629786],"genre_scores_gemma":[0.9949865,0.0003519146,0.001729585,0.00006363342,0.000009183082,0.00007609525,0.0001152579,0.000008515533,0.002659273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06153455,"threshold_uncertainty_score":0.1223528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308362453522728,"score_gpt":0.3065327723348165,"score_spread":0.2834491477995892,"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."}}