{"id":"W2889939310","doi":"10.3917/dss.183.0499","title":"La minéralogie au féminin : la transmission du savoir chez Martine de Bertereau","year":2018,"lang":"fr","type":"article","venue":"Dix-septième siècle","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Humanities; Art; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290826,0.0002411155,0.0001589477,0.0005574554,0.007833792,0.002061223,0.0003578666,0.001310633,0.00398017],"category_scores_gemma":[0.001943773,0.0002089078,0.00009701711,0.0003774182,0.01168465,0.000926515,0.001275828,0.001485596,0.0002448497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006678028,"about_ca_system_score_gemma":0.002535489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1073405,"about_ca_topic_score_gemma":0.2330771,"domain_scores_codex":[0.9993119,0.0003824369,0.00000681865,0.00006295228,0.0001068201,0.0001289942],"domain_scores_gemma":[0.9993475,0.0004316721,0.00007473218,0.00002106156,0.00006772138,0.00005736197],"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":[0.00005463859,0.00001122187,0.002618848,0.00006604451,0.000004155327,0.001066448,0.7646176,0.00006643555,0.001769017,0.2142261,0.004920375,0.0105791],"study_design_scores_gemma":[0.00001030633,0.00007849072,0.01570879,0.0003952749,0.000009749021,0.0007528706,0.2342929,0.000181212,0.001275032,0.00786273,0.7394056,0.00002714036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.666804,0.00769407,0.002044055,0.03121957,0.0003556375,0.00002249037,0.00005818684,0.00002883844,0.2917732],"genre_scores_gemma":[0.9632754,0.0007178009,0.0001806868,0.0003959901,0.00004236211,0.000005919087,0.000004281686,0.00001585315,0.03536167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073405,"threshold_uncertainty_score":0.2134314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274932348363421,"score_gpt":0.2332332460172744,"score_spread":0.2104839225336402,"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."}}