{"id":"W2526911564","doi":"10.1177/0008429816664215","title":"Assessing the Possible Relationship between the Sentiment of Church-related Tweets and Church Growth","year":2016,"lang":"en","type":"article","venue":"Studies in Religion/Sciences Religieuses","topic":"Media, Religion, Digital Communication","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Merge (version control); Church Growth; Social media; Sentiment analysis; Sample (material); Political science; Computer science; World Wide Web; Law; Artificial intelligence; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003636999,0.0002177569,0.0002409028,0.001444208,0.000619358,0.001548524,0.0002836247,0.0003985581,0.004716059],"category_scores_gemma":[0.03168032,0.0001744937,0.0002863071,0.001962486,0.0005799621,0.001594215,0.00129814,0.0009432193,0.0006140264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567062,"about_ca_system_score_gemma":0.0005216519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005596672,"about_ca_topic_score_gemma":0.00800608,"domain_scores_codex":[0.9981212,0.0009193013,0.0001886321,0.0001864718,0.0003640871,0.0002203379],"domain_scores_gemma":[0.958734,0.02966471,0.006935054,0.0006300348,0.003095173,0.000941006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000176928,0.0000577325,0.9883206,0.000120604,0.0000910962,0.0001123561,0.003454514,0.0001637998,0.0006836203,0.0005646318,0.0002922329,0.005961952],"study_design_scores_gemma":[0.000003155919,0.00009610241,0.9886874,0.00003445285,0.00003843042,0.00006272724,0.008107768,0.0008842707,0.0003849186,0.0003460837,0.001345926,0.000008700609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932916,0.0001498337,0.0005228102,0.0005274204,0.00002411703,0.00002729408,0.000681033,0.000005273125,0.004770491],"genre_scores_gemma":[0.998502,0.00007785816,0.0003693663,0.00004314391,0.00002262099,0.00002582028,0.000329251,0.000004370799,0.0006256673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005596672,"threshold_uncertainty_score":0.01923454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.170061424685055,"score_gpt":0.380944502420992,"score_spread":0.210883077735937,"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."}}