{"id":"W7051678061","doi":"","title":"Observer les changements du même : la triennale GTA21 du MOCA Toronto","year":2022,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Observer (physics); Context (archaeology); Work (physics); Focus (optics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001837588,0.000245369,0.0002248031,0.00006462449,0.0009847432,0.00002971932,0.0004270552,0.0001172037,0.00215003],"category_scores_gemma":[0.0000234398,0.0003523882,0.0001524094,0.0002543669,0.00004755581,0.0002021563,0.0005888022,0.0002426702,0.000197657],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009258137,"about_ca_system_score_gemma":0.00003090197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01519849,"about_ca_topic_score_gemma":0.06551114,"domain_scores_codex":[0.9987096,0.00008519222,0.0001639359,0.000310084,0.0002611088,0.0004700743],"domain_scores_gemma":[0.9991177,0.0001915508,0.00008073811,0.0003441842,0.00004842983,0.0002173955],"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":[0.00006182354,0.0005187056,0.002068645,0.00009746971,0.000417561,0.002193069,0.00249228,0.04903799,0.0009820486,0.1312621,0.7588238,0.05204461],"study_design_scores_gemma":[0.0008851857,0.0000639588,0.004514292,0.00001858686,0.0001647791,0.0001551659,0.00150504,0.02618721,0.0001490705,0.0003752728,0.9656461,0.0003353601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8460678,0.05904998,0.001186963,0.06833356,0.001076215,0.0005258855,0.001063058,0.0002680812,0.0224284],"genre_scores_gemma":[0.8400378,0.04756119,0.002115451,0.0003561621,0.0005096885,0.0001831856,0.0002949754,0.0001381029,0.1088034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2068224,"threshold_uncertainty_score":0.9998928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006372836484671245,"score_gpt":0.1462666729146599,"score_spread":0.1398938364299886,"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."}}