{"id":"W1968352103","doi":"10.12660/gvcasosv4n2c12","title":"Pequenas empresas e a tecnologia de informação: o caso da Happening","year":2014,"lang":"pt","type":"article","venue":"Revista Brasileira de Casos de Ensino em Administração","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Happening; Agora; Humanities; Art; Computer science; Art history","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":[0.006916663,0.0004574134,0.000533717,0.002915513,0.008347312,0.01350657,0.0009818648,0.003803887,0.006693104],"category_scores_gemma":[0.01408983,0.0006583316,0.0006016395,0.006569223,0.01384393,0.01158443,0.004989781,0.004135574,0.00158929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005178585,"about_ca_system_score_gemma":0.00494776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02999425,"about_ca_topic_score_gemma":0.03912412,"domain_scores_codex":[0.9919584,0.003877537,0.000287956,0.0009510619,0.001886705,0.001038365],"domain_scores_gemma":[0.9789644,0.01102427,0.002318927,0.003272309,0.002342127,0.002077912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000186999,0.0005004434,0.08662482,0.0007991354,0.00007687265,0.007256247,0.3683449,0.000392164,0.004075134,0.2780656,0.02217419,0.2315035],"study_design_scores_gemma":[0.00002490448,0.0002357512,0.09050234,0.00121386,0.00009699943,0.006363469,0.3670744,0.001466428,0.00189957,0.05097391,0.4799912,0.0001572813],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6391275,0.01107205,0.01335525,0.05182068,0.000538713,0.0001113125,0.0002150771,0.0004701965,0.2832892],"genre_scores_gemma":[0.9828462,0.004920927,0.002464739,0.001275528,0.0001337513,0.00002531249,0.00004616728,0.00006001276,0.008227322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02999425,"threshold_uncertainty_score":0.05963933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09005458666171931,"score_gpt":0.3706027667279915,"score_spread":0.2805481800662721,"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."}}