{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001618745,0.0001144151,0.00007749812,0.0005436644,0.000641463,0.0004231999,0.002092076,0.00001656108,0.000009211056],"category_scores_gemma":[0.0002221197,0.000104939,0.00002774837,0.001840463,0.00007991771,0.0005262407,0.0005503016,0.0001079288,0.0004073612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009529506,"about_ca_system_score_gemma":0.00001232037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001547359,"about_ca_topic_score_gemma":0.000001066382,"domain_scores_codex":[0.9981744,0.00004028744,0.0001837792,0.000677039,0.0005459245,0.0003786017],"domain_scores_gemma":[0.9988927,0.0002123885,0.00009357028,0.0006881846,0.00002234819,0.00009078014],"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":[0.00004081057,0.0004146029,0.04540032,0.000131562,0.00002673909,0.0000104966,0.0005759787,0.05865625,0.005234526,0.05313853,0.1236316,0.7127385],"study_design_scores_gemma":[0.0004742594,0.0001099172,0.1249749,0.00007897241,0.000008002824,2.277092e-7,0.0001430386,0.8565029,0.001308969,0.0008455062,0.01527315,0.0002801761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03856145,2.300707e-7,0.9213736,0.03794948,0.0005578307,0.0006870266,0.000005270168,0.0004912238,0.0003738473],"genre_scores_gemma":[0.9194403,0.00000228748,0.07171538,0.00778704,0.00003600547,0.0004633568,0.00007408056,0.000009393117,0.0004721672],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8808788,"threshold_uncertainty_score":0.523594,"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."}}