{"id":"W2015859456","doi":"10.1509/jmr.13.0415","title":"Harbingers of Failure","year":2015,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Product (mathematics); New product development; Business; Marketing; Process (computing); 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":[0.004869064,0.0006480375,0.000971267,0.003925951,0.002748454,0.003974735,0.0008061436,0.001986441,0.01025025],"category_scores_gemma":[0.03323151,0.0003686743,0.0006658664,0.001933744,0.005724211,0.004079117,0.007290337,0.002535096,0.00111196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198188,"about_ca_system_score_gemma":0.001644177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00259986,"about_ca_topic_score_gemma":0.002200819,"domain_scores_codex":[0.9953617,0.001379952,0.0002260407,0.0008132614,0.001218888,0.001000213],"domain_scores_gemma":[0.9620261,0.01683066,0.009322929,0.003686182,0.00331251,0.004821693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006869659,0.0002112987,0.4821276,0.0003310629,0.0003075765,0.004135977,0.02963108,0.004388926,0.001911163,0.277422,0.0229975,0.1758489],"study_design_scores_gemma":[0.0001107201,0.0009844706,0.2775618,0.000594934,0.0003331258,0.006982836,0.0315331,0.01487488,0.002547002,0.5799104,0.08411463,0.000452114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84246,0.004422559,0.03362976,0.01983138,0.0007401655,0.0001374214,0.0007047947,0.0004035091,0.09767036],"genre_scores_gemma":[0.9964291,0.0003396478,0.0009872186,0.0002970991,0.0001316738,0.00002495374,0.00008172883,0.00001993962,0.001688483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01025025,"threshold_uncertainty_score":0.03429049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.479662747019684,"score_gpt":0.512971021943675,"score_spread":0.03330827492399102,"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."}}