{"id":"W4377042904","doi":"10.3389/feduc.2023.1158041","title":"Middle and high school girls’ attitude to science, technology, engineering, and mathematics career interest across grade levels and school types","year":2023,"lang":"en","type":"article","venue":"Frontiers in Education","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Mathematics education; Multivariate analysis of variance; Ninth; Psychology; Mathematics; Statistics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004256786,0.0002070205,0.0002389316,0.0007659394,0.0006677471,0.0007912125,0.0002176177,0.0003112778,0.004071317],"category_scores_gemma":[0.0007309818,0.0001324925,0.0003323244,0.0005969185,0.0003742213,0.0003016378,0.0005273007,0.000274489,0.0004836333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306738,"about_ca_system_score_gemma":0.0002055469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004168498,"about_ca_topic_score_gemma":0.00862901,"domain_scores_codex":[0.9996854,0.00004988176,0.00002333349,0.00006574328,0.00007213239,0.0001035174],"domain_scores_gemma":[0.9993319,0.0001158185,0.0002333747,0.00003632847,0.00008814463,0.0001943964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008932946,0.00008887976,0.9909782,0.00001531753,0.0000156514,0.00008671668,0.003303257,0.00002765646,0.0009420429,0.00009523692,0.00009787641,0.004259776],"study_design_scores_gemma":[9.787764e-7,0.00007208693,0.9967067,0.000003426039,0.000005616751,0.00004367455,0.002749142,0.00002133293,0.0001228128,0.00001773803,0.0002547489,0.000001787401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994542,0.00003131705,0.00001188808,0.000009370373,0.000001428841,0.000001871792,0.00003444652,7.70332e-7,0.0004546641],"genre_scores_gemma":[0.9994196,0.00002280721,0.00001761679,0.000007396614,0.000001495067,0.000003185245,0.00005508302,6.517918e-7,0.0004721884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004168498,"threshold_uncertainty_score":0.01361996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931034310762961,"score_gpt":0.2998013730766643,"score_spread":0.2604910299690347,"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."}}