{"id":"W1597887249","doi":"10.1108/17538371211214905","title":"Marketing and technology strategies for innovative performance","year":2012,"lang":"en","type":"article","venue":"International Journal of Managing Projects in Business","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Marketing; Originality; Business; Knowledge management; Survey data collection; Computer science; Creativity; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.004451944,0.00009861331,0.000181641,0.002286034,0.00006239902,0.0002407911,0.0005627447,0.00004269391,0.0000237033],"category_scores_gemma":[0.001470869,0.00007644571,0.00002157858,0.001865116,0.0001067655,0.002049116,0.000177052,0.0001466042,0.000002550577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005164925,"about_ca_system_score_gemma":0.0001173472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004895108,"about_ca_topic_score_gemma":0.00000519875,"domain_scores_codex":[0.9984039,0.00004747802,0.0006283784,0.0001355968,0.0005920475,0.0001926181],"domain_scores_gemma":[0.9966919,0.0003714829,0.0005712313,0.0001000566,0.002244339,0.00002092911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002866235,0.00004186108,0.457348,0.00003995476,0.00004525852,0.00000556647,0.0007753375,0.0002090783,0.00009790876,0.01456264,0.000576425,0.5260113],"study_design_scores_gemma":[0.003052534,0.0001159204,0.8464826,0.0007296934,0.00002346514,0.000664608,0.01757603,0.009808771,0.0004633318,0.02309356,0.09750843,0.0004810378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808035,0.0002432963,0.008682847,0.003882373,0.002293265,0.0001618085,0.000001511049,0.00001297776,0.003918394],"genre_scores_gemma":[0.9945185,0.0001644871,0.004726498,0.00008429604,0.0002934444,0.000008704823,6.935907e-7,0.000006471148,0.0001968624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5255303,"threshold_uncertainty_score":0.3117366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0705077515778685,"score_gpt":0.3725922320667245,"score_spread":0.302084480488856,"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."}}