{"id":"W3037593043","doi":"10.1093/jcr/ucaa037","title":"Reviewing Experts’ Restraint from Extremes and Its Impact on Service Providers","year":2020,"lang":"en","type":"article","venue":"Journal of Consumer Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Harm; Affect (linguistics); Service provider; Service (business); Psychology; Replicate; Metric (unit); Computer science; Aggregate (composite); Applied psychology; Marketing; Social psychology; Business","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":[0.04740841,0.000443731,0.0009243328,0.001791169,0.00210798,0.005611641,0.001261923,0.001414709,0.005699191],"category_scores_gemma":[0.3750415,0.0005053434,0.0007449129,0.001197184,0.002992136,0.003445534,0.004400378,0.002298603,0.001195152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002545752,"about_ca_system_score_gemma":0.00260692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982174,"about_ca_topic_score_gemma":0.002867318,"domain_scores_codex":[0.9049678,0.05849346,0.004830682,0.005052744,0.02419437,0.00246097],"domain_scores_gemma":[0.3644416,0.4822943,0.07504328,0.03565463,0.03181192,0.01075423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004841189,0.002413808,0.617876,0.001021378,0.0007007316,0.00120921,0.04074228,0.004757721,0.02367972,0.00839559,0.006580546,0.2877818],"study_design_scores_gemma":[0.0003773428,0.003852488,0.9117958,0.0006253471,0.0004786946,0.00165675,0.02162641,0.01318438,0.01435808,0.01507818,0.01655171,0.0004149437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692532,0.0004318562,0.006571802,0.001285645,0.00007388992,0.0001505904,0.00006605031,0.0001728972,0.02199419],"genre_scores_gemma":[0.9970372,0.00009096836,0.001949408,0.0002088398,0.00004933554,0.00003918822,0.00003255312,0.00002783577,0.0005647697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04740841,"threshold_uncertainty_score":0.2507226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2708152703622372,"score_gpt":0.4783223246229401,"score_spread":0.2075070542607028,"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."}}