{"id":"W6992237209","doi":"","title":"La satisfaction conjugale au dÃ©but de la retraite, mise en relation avec diverses variables","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Relation (database); Context (archaeology); Meaning (existential); Perspective (graphical); Term (time)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004452802,0.0003656874,0.0004524396,0.001543718,0.001460974,0.004342912,0.0007357814,0.001254497,0.01850174],"category_scores_gemma":[0.03631523,0.0002108364,0.0008740927,0.002395456,0.001325757,0.001803256,0.001306639,0.001973104,0.002502962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003361965,"about_ca_system_score_gemma":0.003787222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05641609,"about_ca_topic_score_gemma":0.04013682,"domain_scores_codex":[0.9953551,0.001747314,0.0004796714,0.000374375,0.001574558,0.0004689503],"domain_scores_gemma":[0.9599875,0.0199471,0.007361454,0.001220425,0.008140752,0.003342752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001383551,0.0005272555,0.8725472,0.0002205661,0.0002480947,0.0002423183,0.008613432,0.001859633,0.001353299,0.005272081,0.003974567,0.103758],"study_design_scores_gemma":[0.00003614957,0.0006166453,0.9706909,0.00007188015,0.00008854658,0.0003247968,0.01066058,0.003402852,0.001357599,0.002097601,0.01059123,0.00006114857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950883,0.001155491,0.005400791,0.002440223,0.000187866,0.0001223072,0.002224392,0.0001683107,0.03741761],"genre_scores_gemma":[0.9835066,0.0002453127,0.001394026,0.000134332,0.00005554305,0.00005737015,0.0006477896,0.0000320183,0.01392698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05641609,"threshold_uncertainty_score":0.1121754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008304404432096795,"score_gpt":0.1920351959584133,"score_spread":0.1837307915263166,"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."}}