{"id":"W4235064418","doi":"10.24908/ijesjp.v8i1.14275","title":"Mappa Ingeniare","year":2021,"lang":"es","type":"article","venue":"International Journal of Engineering Social Justice and Peace","topic":"Educational Technology in Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Panorama; Philosophy; Political science; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003047888,0.0001373177,0.0001950472,0.0002088978,0.0001014705,0.0003339463,0.000638006,0.0001431138,0.00003388615],"category_scores_gemma":[0.0008713385,0.0001582321,0.0001025492,0.0002260165,0.00004839421,0.000377364,0.000237193,0.0006147809,0.0000105101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090124,"about_ca_system_score_gemma":0.0003031048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000233719,"about_ca_topic_score_gemma":3.983595e-7,"domain_scores_codex":[0.998759,0.00004312958,0.0003755469,0.0001663445,0.000482304,0.0001736945],"domain_scores_gemma":[0.9981253,0.0002919083,0.0002944477,0.00008862875,0.001125317,0.00007437088],"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":[0.00007243114,0.0005486343,0.005732102,0.0009270492,0.002621162,0.003751203,0.02142972,0.01562166,0.03191572,0.7892423,0.02563567,0.1025024],"study_design_scores_gemma":[0.002458545,0.0002873249,0.08731983,0.002279034,0.001337598,0.007891297,0.007023422,0.03018239,0.006812172,0.00214237,0.8509164,0.001349643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6511214,0.03122713,0.2089319,0.08150456,0.02522672,0.00008677423,0.00003004313,0.000128477,0.001742991],"genre_scores_gemma":[0.9663579,0.002806334,0.02589706,0.0004478605,0.004127023,0.000001096715,0.000003609051,0.00001938838,0.0003397291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8252807,"threshold_uncertainty_score":0.6452518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116274370638517,"score_gpt":0.2894277899707992,"score_spread":0.2778003529069475,"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."}}