{"id":"W3133488405","doi":"10.1016/j.techfore.2021.120665","title":"Value co-creation in online healthcare communities","year":2021,"lang":"en","type":"article","venue":"Technological Forecasting and Social Change","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council","keywords":"Interactivity; Value (mathematics); Co-creation; Government (linguistics); Health care; Extant taxon; Public relations; Business; Control (management); Social media; Knowledge management; Uses and gratifications theory; Internet privacy; Psychology; Marketing; Computer science; World Wide Web; 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":[0.004921354,0.0002597222,0.0002710246,0.003371129,0.004024653,0.008700121,0.001026232,0.001895118,0.009396802],"category_scores_gemma":[0.02523665,0.0002620356,0.0004434443,0.002506753,0.003536946,0.009325075,0.005230179,0.001177784,0.0007850458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002391799,"about_ca_system_score_gemma":0.002483282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621682,"about_ca_topic_score_gemma":0.003694422,"domain_scores_codex":[0.996012,0.002500562,0.0001029143,0.0003524245,0.0006482656,0.0003838298],"domain_scores_gemma":[0.9675421,0.02264856,0.002465055,0.001833743,0.002308299,0.003202241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000752116,0.001666945,0.1521357,0.0003433588,0.0001785968,0.001842253,0.0718811,0.005013973,0.003364715,0.4591785,0.00938248,0.2942602],"study_design_scores_gemma":[0.0001373187,0.0003688125,0.05321321,0.0003835529,0.0001380273,0.001265068,0.1125191,0.08385316,0.003714066,0.6789598,0.06532805,0.0001197665],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8868845,0.000719939,0.01673552,0.005995039,0.0001246173,0.0001335937,0.0000927589,0.00008004739,0.08923417],"genre_scores_gemma":[0.9961503,0.00007831342,0.001488082,0.00006176913,0.00003867685,0.00001726074,0.00002357945,0.000009757706,0.00213233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009396802,"threshold_uncertainty_score":0.03143537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947576128482456,"score_gpt":0.3837774424865598,"score_spread":0.1890198296383142,"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."}}