{"id":"W7133469033","doi":"","title":"Specific dimensions of projects marketing in the construciton industry","year":2001,"lang":"en","type":"article","venue":"ORBi UMONS","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Production (economics); Marketing research; Work (physics); Key (lock); Quality (philosophy)","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":[0.001302536,0.0002869071,0.0002166694,0.002244861,0.001492171,0.005591354,0.0003404529,0.001130325,0.007289868],"category_scores_gemma":[0.005048371,0.0002479678,0.0003405431,0.002133985,0.002620662,0.002943371,0.001720021,0.001059367,0.0002626409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004133057,"about_ca_system_score_gemma":0.00203066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003559981,"about_ca_topic_score_gemma":0.01213953,"domain_scores_codex":[0.9985556,0.0006272082,0.00006152719,0.00008602899,0.0003353453,0.0003342479],"domain_scores_gemma":[0.9945305,0.002706131,0.0008787021,0.0001547287,0.0005833106,0.001146556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007863721,0.001242359,0.4810129,0.0005498231,0.0001523169,0.0006219496,0.01865153,0.006600804,0.005804712,0.3261032,0.002614458,0.1558596],"study_design_scores_gemma":[0.00003326018,0.0002872384,0.8557739,0.0002589129,0.00008686038,0.0003785866,0.0471894,0.009820518,0.001631553,0.07084084,0.01363337,0.00006549866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080303,0.0009925608,0.003357982,0.00125,0.0000153426,0.0001212259,0.00009007111,0.00001560762,0.086127],"genre_scores_gemma":[0.9979359,0.0001935758,0.0006279252,0.00002810534,0.000008691827,0.00002076269,0.00002233966,0.000002042038,0.001160781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007289868,"threshold_uncertainty_score":0.02998757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022432756163703,"score_gpt":0.3427528367432284,"score_spread":0.2405095611268581,"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."}}