{"id":"W7052004322","doi":"","title":"Que le sang coule! : des femmes et leur expérience des menstruations","year":2003,"lang":"fr","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; Context (archaeology); Perspective (graphical); Order (exchange)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001093725,0.0001762186,0.0002480326,0.0006008461,0.004380136,0.002765054,0.0002544908,0.001287957,0.01541082],"category_scores_gemma":[0.003208357,0.0002228566,0.000211751,0.0007079746,0.002290029,0.001652542,0.001286874,0.001721424,0.001705084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009676872,"about_ca_system_score_gemma":0.001547053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02864509,"about_ca_topic_score_gemma":0.04368556,"domain_scores_codex":[0.999447,0.0002797341,0.00001690747,0.000043241,0.0000797175,0.0001333972],"domain_scores_gemma":[0.9992629,0.0002661985,0.0001144446,0.00002552014,0.00009488786,0.0002359974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001837316,0.0001310685,0.07525469,0.0004993548,0.00004015232,0.003505981,0.60203,0.00004886306,0.00127268,0.01773677,0.1022354,0.1970614],"study_design_scores_gemma":[0.0000157502,0.0001909764,0.07235011,0.0008154494,0.00002812215,0.003282988,0.435629,0.00002747081,0.0001776337,0.001982319,0.4854608,0.00003932273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5954877,0.09596789,0.0006528384,0.1340469,0.003825074,0.00007516141,0.000758901,0.0000912996,0.1690942],"genre_scores_gemma":[0.8260824,0.04382861,0.0003813753,0.01176613,0.0004441817,0.00005980072,0.0001790916,0.00003774362,0.1172206],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02864509,"threshold_uncertainty_score":0.05695671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315216435342166,"score_gpt":0.2895878481244924,"score_spread":0.2564356837710707,"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."}}