{"id":"W6968424009","doi":"10.5281/zenodo.14772963","title":"Préparer son environnement physique et technologique","year":2020,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Contemporary art, education, critique","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Power (physics); Government (linguistics); Latin Americans; Work (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001994972,0.0002306792,0.0002173012,0.0001220922,0.003151835,0.000722827,0.001358027,0.0002084101,0.02404821],"category_scores_gemma":[0.001158181,0.000284943,0.00009191279,0.0009447949,0.0008191026,0.001475259,0.0008218884,0.0006557789,0.01540993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287334,"about_ca_system_score_gemma":0.000043816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002884237,"about_ca_topic_score_gemma":0.00001590975,"domain_scores_codex":[0.9951851,0.002727073,0.0003727173,0.0006615178,0.0004912714,0.0005623167],"domain_scores_gemma":[0.9984993,0.0000578996,0.0001820416,0.0004349782,0.000426546,0.0003991851],"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":[0.00002595638,0.0003209545,0.00001279561,0.0001097211,0.00004508678,0.00001451656,0.02581838,0.00002893669,0.001394288,0.186252,0.6886219,0.09735543],"study_design_scores_gemma":[0.0002821185,0.0003372383,0.0003061368,0.00005898866,0.00001835062,0.00001322856,0.009015524,0.00008893869,0.0006413047,0.001346511,0.9876025,0.0002891183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01327016,0.0010366,0.006460602,0.6917447,0.0004032825,0.001327165,0.0002175101,0.001614835,0.2839251],"genre_scores_gemma":[0.9538608,0.004801662,0.001098145,0.004646024,0.001038814,3.638859e-7,0.001012642,0.001784655,0.03175686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9405907,"threshold_uncertainty_score":0.9999602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05324076434610089,"score_gpt":0.2870726449872888,"score_spread":0.233831880641188,"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."}}