{"id":"W3166428536","doi":"10.1007/978-3-030-79186-5_19","title":"From Mental Models to Machine Learning Models via Conceptual Models","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Mental model; Conceptual model; Conceptual framework; Artificial intelligence; Data science; Machine learning; Management science; Cognitive science; Engineering; Psychology; Sociology; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002182137,0.0006097805,0.0007207756,0.0005455001,0.0002809718,0.0008209982,0.0009113667,0.0005643787,0.00004402312],"category_scores_gemma":[0.00009940436,0.0005782509,0.0001034897,0.0004261454,0.0001035789,0.006993871,0.000673492,0.00077029,0.00002837157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294644,"about_ca_system_score_gemma":0.0003718987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002998413,"about_ca_topic_score_gemma":0.000122535,"domain_scores_codex":[0.9972138,0.00003221752,0.000954562,0.0005798368,0.0007621864,0.0004573674],"domain_scores_gemma":[0.998069,0.0001564851,0.0005523189,0.0004838994,0.0006351518,0.0001031438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001819276,0.000008891397,0.000002191097,0.00009983001,0.00001828605,0.00001039803,0.01248944,0.7525932,0.00001622651,0.02299026,0.00001482008,0.2117382],"study_design_scores_gemma":[0.0003253617,0.00001406566,0.000002562424,0.0006887995,0.00001533963,0.00001678882,0.00006869952,0.7838388,0.0001949999,0.2130226,0.001268156,0.00054383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001331224,0.002484654,0.9737934,0.001040361,0.0005160972,0.0003485146,0.00002708185,0.0003402747,0.02131642],"genre_scores_gemma":[0.8114937,0.0003108611,0.1819431,0.003748135,0.0003322063,0.00005333325,0.00105146,0.0000831422,0.0009840491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8113606,"threshold_uncertainty_score":0.9996669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04002625032305028,"score_gpt":0.2381324228497773,"score_spread":0.198106172526727,"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."}}