{"id":"W4399703374","doi":"10.1111/joms.13119","title":"Rating Anticipation and Strategic Downward Selection in Consumer‐Generated Rating Systems: Evidence from a Peer‐to‐Peer Platform Market","year":2024,"lang":"en","type":"article","venue":"Journal of Management Studies","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Anticipation (artificial intelligence); Selection (genetic algorithm); Rating system; Marketing; Business; Economics; Computer 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":[0.004593334,0.0002340273,0.0002181505,0.0004603994,0.001005744,0.00293919,0.0004909688,0.0008011241,0.009442826],"category_scores_gemma":[0.02174303,0.0002555684,0.0002134833,0.0003231609,0.001467714,0.00232051,0.00109442,0.001064783,0.0009952514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005098063,"about_ca_system_score_gemma":0.0003865068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00243249,"about_ca_topic_score_gemma":0.002531043,"domain_scores_codex":[0.9979123,0.001110128,0.0000612295,0.0002252438,0.0005208366,0.0001701808],"domain_scores_gemma":[0.9680043,0.01977104,0.007320138,0.001805422,0.001314109,0.001785005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006057652,0.007533242,0.8281994,0.0004239412,0.0003321984,0.0016307,0.01986671,0.00404361,0.009452783,0.02538232,0.003765962,0.09331144],"study_design_scores_gemma":[0.000461351,0.002627851,0.946551,0.00006230525,0.0001177542,0.0004353135,0.01379153,0.01524901,0.002190856,0.01021818,0.008140188,0.0001546844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874932,0.0000588797,0.0004275663,0.000129154,0.000007826518,0.00003579527,0.00002021341,0.00000769547,0.01181974],"genre_scores_gemma":[0.9990515,0.00002345349,0.0001037008,0.00003242211,0.000007948895,0.000006474454,0.00001454054,0.000004800305,0.0007550925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009442826,"threshold_uncertainty_score":0.03158945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508627504448297,"score_gpt":0.4088581613191353,"score_spread":0.2579954108743056,"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."}}