{"id":"W4292615750","doi":"10.1007/s11150-022-09619-5","title":"How to measure parenting styles?","year":2022,"lang":"en","type":"article","venue":"Review of Economics of the Household","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Psychology; Developmental psychology; Parenting styles; Style (visual arts); Persistence (discontinuity); Cognition; Measure (data warehouse); Sample (material); Cognitive style; Latent semantic analysis; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004515055,0.00008482888,0.0002718289,0.00003095296,0.000100059,0.000006585434,0.0004111633,0.00001593781,0.0001948887],"category_scores_gemma":[0.00002552837,0.00006771997,0.0002269909,0.000120755,0.00002061605,0.00002370527,0.0001933914,0.000106496,0.000006058652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004209226,"about_ca_system_score_gemma":0.00003765689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009815956,"about_ca_topic_score_gemma":0.000003602127,"domain_scores_codex":[0.9992298,0.00007884589,0.0003214545,0.0001620165,0.00008115064,0.0001267707],"domain_scores_gemma":[0.9993247,0.00002121657,0.0002919024,0.0003027429,0.00002154366,0.00003787741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001611702,0.00163686,0.02994514,0.009341812,0.0008562223,0.000002258462,0.001675008,0.0006122789,0.0003592186,0.2401641,0.5548146,0.1604313],"study_design_scores_gemma":[0.0003101543,0.00004267046,0.03096514,0.002639077,0.00004768779,0.000007709193,0.0003221091,0.000001242941,0.00009249226,0.0007562154,0.9646284,0.0001870852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7655743,0.1075009,0.00004287598,0.07128717,0.007492626,0.002548847,0.001010772,0.00006157042,0.04448103],"genre_scores_gemma":[0.9861622,0.005340355,0.00009899565,0.00586232,0.000145912,0.00003581285,0.00001122388,0.00002128683,0.002321861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4098138,"threshold_uncertainty_score":0.276154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05972772264672964,"score_gpt":0.2579626395257931,"score_spread":0.1982349168790635,"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."}}