{"id":"W1987127985","doi":"10.1007/s11129-006-8128-8","title":"The medium-term effects of unavailability","year":2006,"lang":"en","type":"article","venue":"Quantitative Marketing and Economics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University at Buffalo","keywords":"Unavailability; Competitor analysis; Term (time); Product (mathematics); Lock (firearm); Service (business); Computer science; Business; Computer security; Marketing; Reliability engineering; Engineering; Mathematics","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":[0.002129961,0.0003425564,0.0006200277,0.0004443143,0.0005456515,0.002630798,0.0008735491,0.001845082,0.02069981],"category_scores_gemma":[0.02912608,0.0002847826,0.0007545089,0.0005736204,0.001011883,0.002546569,0.001322146,0.003474223,0.001673841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008349793,"about_ca_system_score_gemma":0.0006384648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004791823,"about_ca_topic_score_gemma":0.005063605,"domain_scores_codex":[0.9990143,0.0002088645,0.00006786098,0.000191602,0.0002399865,0.0002773505],"domain_scores_gemma":[0.9441819,0.04518242,0.003044807,0.003070584,0.002287226,0.002232946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02459644,0.007368362,0.6080755,0.001221509,0.001351865,0.002543213,0.001975732,0.05716199,0.08533859,0.03867298,0.01067847,0.1610154],"study_design_scores_gemma":[0.0001062798,0.001691185,0.9555495,0.00006860597,0.0005672746,0.000343672,0.001091436,0.009971792,0.005229733,0.0192071,0.006052412,0.0001209195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974343,0.001685363,0.002074196,0.001202687,0.000154245,0.00003017061,0.001726835,0.00009244496,0.01869115],"genre_scores_gemma":[0.9953257,0.0002830822,0.0001385174,0.0001184231,0.0000561336,0.0000114711,0.0003640154,0.00003382616,0.003668898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02069981,"threshold_uncertainty_score":0.06924784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234291649481124,"score_gpt":0.223965475085446,"score_spread":0.2116225585906348,"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."}}