{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1795572,0.00005892459,0.0002453004,0.001260992,0.000104913,0.0001540034,0.000835448,0.00006198721,0.0005736845],"category_scores_gemma":[0.1851526,0.00003878427,0.0001013075,0.002104914,0.0001637922,0.0002579103,0.0002175405,0.0006547499,0.00004944462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006906129,"about_ca_system_score_gemma":0.0005149147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005372717,"about_ca_topic_score_gemma":0.000003193527,"domain_scores_codex":[0.9911361,0.002035883,0.001198251,0.0001375595,0.005179707,0.0003125098],"domain_scores_gemma":[0.9821994,0.007249632,0.000803904,0.0002501505,0.009306859,0.0001900226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002150373,0.000177838,0.07989172,0.00002755282,0.00003814735,0.00008439723,0.003197912,0.0001670427,0.01068195,0.001759094,0.7021372,0.1996868],"study_design_scores_gemma":[0.004359964,0.001193002,0.06847494,0.0008625399,0.00001392306,0.0005121792,0.07793485,0.007727107,0.005771713,0.04005007,0.7927132,0.0003864652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564388,0.00009552097,0.0003764441,0.003376233,0.0003316124,0.00005304702,9.873922e-7,0.000003743028,0.03932361],"genre_scores_gemma":[0.994311,0.000005551596,0.002866902,0.00004259782,0.0002168309,3.487604e-7,1.18815e-7,0.000006881841,0.002549736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1993003,"threshold_uncertainty_score":0.8448185,"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."}}