{"id":"W4386549972","doi":"10.5267/j.msl.2023.8.001","title":"Profession recommendation based on multiple intelligence for high school students","year":2023,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Computer science; Value (mathematics); Intrapersonal communication; Psychology; Preference; Mathematics education; Artificial intelligence; Interpersonal communication; Social psychology; Mathematics; Statistics; Machine learning","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":[0.001219336,0.0005921143,0.0008115283,0.004075151,0.0007521574,0.00129061,0.0006370917,0.0008171872,0.003790847],"category_scores_gemma":[0.004461549,0.0003202079,0.0007586516,0.00208378,0.0001227601,0.001280593,0.0005245038,0.0005983117,0.002552069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624952,"about_ca_system_score_gemma":0.0008881041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138524,"about_ca_topic_score_gemma":0.02150099,"domain_scores_codex":[0.9986057,0.0001926045,0.0001174091,0.0003286521,0.0006255491,0.0001301553],"domain_scores_gemma":[0.9979195,0.0005667027,0.0001871909,0.0001523417,0.0009831322,0.0001911423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006905484,0.001176446,0.1340807,0.0003218477,0.0001954809,0.0004427588,0.0006354915,0.006777476,0.00884793,0.0007440805,0.02196694,0.8241203],"study_design_scores_gemma":[0.0002525618,0.001147687,0.1635457,0.0001682213,0.0004755601,0.001206286,0.001412587,0.7862118,0.01910828,0.003712841,0.02255161,0.0002067445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6629505,0.002105017,0.2811468,0.002996989,0.0004604641,0.001421769,0.005026599,0.0103517,0.03354022],"genre_scores_gemma":[0.8068501,0.000560216,0.1777065,0.0003073457,0.0001768537,0.0002460809,0.003557798,0.0001023596,0.01049285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0138524,"threshold_uncertainty_score":0.02754354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489048906363034,"score_gpt":0.3343035252737238,"score_spread":0.3094130362100935,"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."}}