{"id":"W2117004901","doi":"10.1023/a:1027400918494","title":"An Empirical Analysis of Follower Entry Timing Decisions","year":2003,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"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":[0.004809337,0.0003106881,0.0005794002,0.00145461,0.0008777785,0.002908355,0.0008739412,0.001329336,0.01527228],"category_scores_gemma":[0.04819308,0.0002685988,0.0004502416,0.0018831,0.0005283572,0.002147822,0.0006236932,0.00190383,0.002089418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010907,"about_ca_system_score_gemma":0.0009661217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004678792,"about_ca_topic_score_gemma":0.004688758,"domain_scores_codex":[0.9985764,0.000688387,0.00007409544,0.0001363392,0.0002665207,0.0002582586],"domain_scores_gemma":[0.8440294,0.1388806,0.009110827,0.002655425,0.002956544,0.002367224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006660755,0.004742275,0.8227618,0.0002869125,0.0002619528,0.001636855,0.004265075,0.01383924,0.005170016,0.02028651,0.005450826,0.1146378],"study_design_scores_gemma":[0.0005553853,0.003231185,0.8024063,0.0001168872,0.0006243646,0.001093688,0.009428318,0.1486278,0.006077066,0.02094701,0.006748427,0.000143565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957344,0.000138363,0.0008280809,0.000240144,0.000009700339,0.00002106132,0.00013354,0.00001573591,0.002878975],"genre_scores_gemma":[0.996507,0.00008401429,0.0003758399,0.00003755607,0.00002105126,0.0000103378,0.000170583,0.00000678746,0.002786735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01527228,"threshold_uncertainty_score":0.0510909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169438456309028,"score_gpt":0.395120015740106,"score_spread":0.2781761701092033,"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."}}