{"id":"W2779453423","doi":"10.7202/1042329ar","title":"Introduction","year":2017,"lang":"fr","type":"article","venue":"Philosophiques","topic":"Feminism, Gender, and Intersectionality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006867258,0.0001559254,0.0001807768,0.00003769244,0.001710356,0.0002515212,0.0004696318,0.0002030718,0.003092148],"category_scores_gemma":[0.0004303103,0.0001724683,0.0001477138,0.0000398339,0.001664994,0.0009749818,0.0000967052,0.0002412566,0.0008487515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657499,"about_ca_system_score_gemma":0.000110509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004066184,"about_ca_topic_score_gemma":0.0003747565,"domain_scores_codex":[0.9985673,0.0002103794,0.0002208251,0.0003782441,0.0003074247,0.0003158571],"domain_scores_gemma":[0.9988211,0.00003692244,0.0002435823,0.0005797428,0.0001771872,0.0001414989],"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":[0.0000204722,0.0001289215,0.000908452,0.00003277057,0.0000536677,0.00000442056,0.009618391,9.705074e-7,0.00008036528,0.7160661,0.2643634,0.008722037],"study_design_scores_gemma":[0.00008853737,0.00006743756,0.004182301,0.00002505997,0.00002524804,0.000003970785,0.0008776953,0.0000166895,0.0003990502,0.282204,0.7119495,0.0001605962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01906546,0.004264211,0.00005468301,0.5820252,0.01343203,0.0001272592,0.00001958814,0.00008639589,0.3809251],"genre_scores_gemma":[0.8784839,0.002635916,0.0001841175,0.00195116,0.07770859,0.00001061577,0.000006360968,0.00001537625,0.03900398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8594184,"threshold_uncertainty_score":0.9999292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3718431304190082,"score_gpt":0.4433389638350457,"score_spread":0.07149583341603749,"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."}}