{"id":"W2034968168","doi":"10.5539/ijms.v4n3p160","title":"Using Social Marketing Principles to Describe Local Isfahan Managers' Attitude about Using New Energy Resources","year":2012,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marketing; Promotion (chess); Business; Marketing mix; Renewable energy; Product (mathematics); Structural equation modeling; Social marketing; Environmental economics; Marketing strategy; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001785842,0.0005122791,0.0001209657,0.0017724,0.001199507,0.001559593,0.0003020876,0.0005826873,0.003242642],"category_scores_gemma":[0.002750451,0.00009427948,0.0002506958,0.001011278,0.002164257,0.001136878,0.0008456131,0.0004759806,0.0002692788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650213,"about_ca_system_score_gemma":0.001164101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177871,"about_ca_topic_score_gemma":0.002732632,"domain_scores_codex":[0.9984362,0.00095835,0.00009425959,0.00006093819,0.0003334175,0.0001169153],"domain_scores_gemma":[0.9983903,0.0007432014,0.0005419419,0.00003563694,0.0002180399,0.00007090538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001413713,0.0009600155,0.3732114,0.001151335,0.0001166057,0.002017589,0.3714081,0.001527814,0.005679356,0.03511705,0.007030411,0.2016391],"study_design_scores_gemma":[0.00004269813,0.0007815914,0.4052309,0.0009855543,0.0001046361,0.001155513,0.4911227,0.003636719,0.001602159,0.01612142,0.0791197,0.00009627991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490845,0.0008490965,0.0049128,0.00280941,0.0000743616,0.0003889209,0.0001084914,0.000023466,0.04174894],"genre_scores_gemma":[0.9960542,0.0003128043,0.001575497,0.0002486292,0.00002804889,0.0002156972,0.00003257727,0.000002445991,0.001530197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003242642,"threshold_uncertainty_score":0.0119732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129088816218014,"score_gpt":0.4006835757765356,"score_spread":0.2715947595585216,"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."}}