{"id":"W27896105","doi":"10.1016/j.ymgmr.2014.07.003","title":"Ledarskapet en framgångsfaktor för franchisetagare inom fastighetsmäklarbranschen.","year":2011,"lang":"en","type":"article","venue":"Molecular Genetics and Metabolism Reports","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002539155,0.000305363,0.0003533362,0.0001294861,0.000124392,0.0001279725,0.0001677394,0.0001399132,0.0001708239],"category_scores_gemma":[0.00005375055,0.0002933151,0.000132333,0.0002848495,0.00007104564,0.0003116953,0.0001632784,0.0001807771,0.00004187087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006077606,"about_ca_system_score_gemma":0.00004010469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003594958,"about_ca_topic_score_gemma":0.00002958386,"domain_scores_codex":[0.9983113,0.00001321936,0.0004387294,0.0005485282,0.0003217785,0.0003664704],"domain_scores_gemma":[0.9988634,0.000006010676,0.00041201,0.0005247745,0.0001528671,0.00004094085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000191758,0.0006153174,0.6854486,0.0007355112,0.0005679281,0.01180077,0.001420977,0.0001945305,0.1232072,0.07124057,0.008294174,0.09628265],"study_design_scores_gemma":[0.0003945262,0.000008654331,0.5356758,0.00002732906,0.0001888284,0.00004985607,0.00002347572,0.00009945279,0.003718796,0.007053016,0.4523154,0.0004449045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786992,0.007068824,0.004482765,0.0001230725,0.0008681258,0.0002765637,0.000007483919,0.00007751652,0.008396467],"genre_scores_gemma":[0.9954138,0.0003121296,0.001711366,0.001749926,0.0005211827,0.0000269396,0.00001869841,0.00005602808,0.0001899691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4440213,"threshold_uncertainty_score":0.9999519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079217499276709,"score_gpt":0.1812154051771317,"score_spread":0.1704232301843646,"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."}}