{"id":"W4396661661","doi":"10.1080/14703297.2024.2342617","title":"Editorial IETI 61/3","year":2024,"lang":"en","type":"article","venue":"Innovations in Education and Teaching International","topic":"Employment, Labor, and Gender Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Psychology; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006969099,0.00005884537,0.00004926994,0.000312781,0.0003965199,0.0003169803,0.0001147297,0.00005147319,0.0001050756],"category_scores_gemma":[0.0004368411,0.00006124678,0.00001569049,0.0002252131,0.00009695501,0.0003085384,0.00002734152,0.0002283555,0.00001952929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603118,"about_ca_system_score_gemma":0.0004633661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227799,"about_ca_topic_score_gemma":0.0007136558,"domain_scores_codex":[0.9992385,0.0000588351,0.0001768932,0.0001638595,0.0002584927,0.0001034543],"domain_scores_gemma":[0.9996299,0.000110285,0.00002814716,0.00005405265,0.000154064,0.00002361636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[8.153287e-7,0.00008063004,0.01063175,0.0000035317,0.00001511566,1.549455e-7,0.0210893,0.000001513571,0.00001202971,0.7632815,0.1715546,0.03332906],"study_design_scores_gemma":[0.00006049015,0.000004601502,0.007267621,0.00004007927,0.000002743281,6.263848e-7,0.007638921,0.00003939982,0.000002032144,0.02151542,0.963361,0.00006710347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1763332,0.0007168542,0.0009847156,0.05244446,0.3674092,0.0002270823,0.00002033419,0.0002354964,0.4016287],"genre_scores_gemma":[0.9538078,0.0001263672,0.0007714907,0.0003979763,0.03725325,0.00004686608,0.00003561703,0.000006583746,0.007554062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7918063,"threshold_uncertainty_score":0.3056649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477130836991827,"score_gpt":0.404157600820604,"score_spread":0.3793862924506857,"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."}}