{"id":"W2161077460","doi":"10.20982/tqmp.02.1.p001","title":"An Introduction to Model Selection: Tools and Algorithms","year":2006,"lang":"en","type":"article","venue":"Tutorials in Quantitative Methods for Psychology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Selection (genetic algorithm); Algorithm; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006571159,0.003471847,0.002962512,0.003567152,0.0007811885,0.003572742,0.00289592,0.003699232,0.01306946],"category_scores_gemma":[0.02766015,0.00172217,0.002806733,0.005583715,0.002139023,0.004679707,0.002725806,0.007761249,0.00850237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126048,"about_ca_system_score_gemma":0.001415276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502866,"about_ca_topic_score_gemma":0.001463635,"domain_scores_codex":[0.9954779,0.002787269,0.0003244224,0.0004896148,0.0008192321,0.0001016845],"domain_scores_gemma":[0.979583,0.01799537,0.0004835029,0.00100096,0.0007240446,0.000213176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006713177,0.0001595142,0.001226823,0.002002936,0.0005743153,0.0003158156,0.0002701043,0.08845898,0.0008491917,0.3787558,0.1322861,0.3950333],"study_design_scores_gemma":[0.0000361551,0.00004843826,0.000286494,0.000386968,0.00004748091,0.0002501745,0.00003315495,0.08130887,0.0002776236,0.8297364,0.08750648,0.00008165374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003113438,0.03018684,0.960172,0.002838606,0.0007280174,0.00006276827,0.000472567,0.0009693712,0.004258505],"genre_scores_gemma":[0.02334738,0.04925139,0.909534,0.002613449,0.005721691,0.001049666,0.001240203,0.001036893,0.006205316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01306946,"threshold_uncertainty_score":0.04372168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3992051298178201,"score_gpt":0.6268989075808892,"score_spread":0.227693777763069,"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."}}