{"id":"W2510090481","doi":"10.22329/wyaj.v32i2.4684","title":"UNE PROCÉDURE EN DIFFICULTÉ: A BLUEPRINT FOR RESOLVING “SPECIAL” EDUCATION DISPUTES THROUGH A QUASI-INQUISITORIAL ADMINISTRATIVE PROCESS","year":2015,"lang":"en","type":"article","venue":"Windsor Yearbook of Access to Justice","topic":"Legal Issues in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blueprint; Process (computing); Administrative law; Political science; Public administration; Law; Computer science; Engineering; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007712592,0.0001947711,0.0002898494,0.00009498033,0.0002808094,0.0003080933,0.0009015485,0.0001880815,0.00004758456],"category_scores_gemma":[0.005242128,0.000192524,0.00006796487,0.0006475329,0.0002313681,0.001190512,0.0001110793,0.0001765742,0.00002501595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728674,"about_ca_system_score_gemma":0.002789552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219686,"about_ca_topic_score_gemma":0.001363427,"domain_scores_codex":[0.9978429,0.0001864996,0.0004152906,0.0004546439,0.000724029,0.0003766532],"domain_scores_gemma":[0.9974701,0.0004687153,0.0003145614,0.0002938388,0.001194151,0.0002586751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006657881,0.001580414,0.001953881,0.0006130064,0.00006697378,0.00000164615,0.8840294,0.0002082809,0.0002960846,0.07036762,0.03498842,0.005228415],"study_design_scores_gemma":[0.00174093,0.001124903,0.006843055,0.0009020118,0.0006838386,0.000002535824,0.4785984,0.0001093485,0.008074492,0.02771814,0.4730669,0.00113538],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7788906,0.0003498921,0.005639854,0.02111083,0.02241806,0.00746526,0.00006445502,0.0003113745,0.1637498],"genre_scores_gemma":[0.9649458,0.00001097019,0.00658791,0.0002097441,0.02610664,0.0004939717,0.00001854647,0.00003339784,0.001592992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4380785,"threshold_uncertainty_score":0.7850902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09158201672369119,"score_gpt":0.456023726673723,"score_spread":0.3644417099500318,"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."}}