{"id":"W7014907315","doi":"","title":"Préface -thèse Geneviève Saint-Laurent","year":2017,"lang":"fr","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Subject (documents); MEDLINE; Association (psychology)","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":[0.0008460775,0.0008301456,0.0005856571,0.001484696,0.002560011,0.003834202,0.0009217242,0.001693716,0.2014877],"category_scores_gemma":[0.003610405,0.000257957,0.0004780434,0.001526178,0.0005666691,0.002291054,0.001600505,0.003156704,0.09354073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003105344,"about_ca_system_score_gemma":0.002715898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234983,"about_ca_topic_score_gemma":0.03430687,"domain_scores_codex":[0.9993083,0.00008969323,0.00002551286,0.0001101119,0.0003920876,0.00007432285],"domain_scores_gemma":[0.9983736,0.0002752019,0.00006060849,0.0000904529,0.0008774194,0.0003227852],"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":[0.00001044536,0.000007837775,0.00003835818,0.0000555583,0.000001007765,0.00003115067,0.0001051111,0.00002026913,0.00005351077,0.003581177,0.9807332,0.01536238],"study_design_scores_gemma":[0.000001092221,0.000002923758,0.0001710143,0.00005865098,3.973527e-7,0.00003350046,0.00004997617,0.00000611433,0.00002616531,0.0003575381,0.9992906,0.000001930477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001196542,0.08275367,0.001468407,0.08305326,0.1598359,0.0001639959,0.007400305,0.0006795472,0.6634484],"genre_scores_gemma":[0.006386687,0.02090747,0.0005907967,0.007824702,0.02124162,0.000100071,0.002235688,0.0004460439,0.9402669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2014877,"threshold_uncertainty_score":0.6740437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578159384140777,"score_gpt":0.2411006202341131,"score_spread":0.2253190263927053,"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."}}