{"id":"W1502332670","doi":"10.22230/src.2014v5n3a162","title":"Knowledge Co-Creation and Assistive Technology","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Praxis; Scholarship; Knowledge management; Service (business); Knowledge transfer; Knowledge production; Perspective (graphical); Co-creation; Consumption (sociology); Production (economics); Computer science; Sociology; Business; Political science; Social science; Artificial intelligence; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003385477,0.00008244352,0.0001040947,0.000869244,0.0009976459,0.0005817508,0.0008447829,0.0002037254,0.000004212941],"category_scores_gemma":[0.001327427,0.00007730118,0.000009975891,0.00091932,0.0007064753,0.002167973,0.000818486,0.001261247,0.00006057842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008170446,"about_ca_system_score_gemma":0.00004372569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002002542,"about_ca_topic_score_gemma":0.00003289678,"domain_scores_codex":[0.9983396,0.0007754379,0.0001636094,0.0002922887,0.0002159155,0.0002131632],"domain_scores_gemma":[0.9973891,0.0004367973,0.00007071027,0.0009093637,0.001153333,0.00004064605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007674825,0.00005136738,0.004977346,0.000009308662,0.00001173956,3.406316e-7,0.0004538731,1.044045e-7,0.009062444,0.7619087,0.0003743636,0.2231427],"study_design_scores_gemma":[0.001579611,0.001134629,0.3087201,0.0003274451,0.00001091498,0.0001196582,0.00121389,0.02231066,0.05595599,0.3829615,0.2251186,0.0005471113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6581536,0.00380909,0.1958895,0.03832936,0.0001512105,0.0007951289,0.000002515831,0.0007018004,0.1021678],"genre_scores_gemma":[0.9887371,0.000325585,0.01044572,0.00004428747,0.00001622124,0.0000593425,0.000007254244,0.000005790485,0.0003586798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3789472,"threshold_uncertainty_score":0.7673187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06075506679856065,"score_gpt":0.4278842571124599,"score_spread":0.3671291903138993,"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."}}