{"id":"W7014654448","doi":"","title":"Relevé et analyse spectroscopiques d'étoiles naines blanches brillantes et riches en hydrogène","year":2011,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decarburization; Denim; Quilt","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":[0.0004987976,0.0007408913,0.0003682472,0.001064313,0.0008522158,0.001004528,0.0004838783,0.0006810579,0.007468076],"category_scores_gemma":[0.0005347418,0.0005577857,0.0006354795,0.0006746238,0.0005635316,0.001022431,0.0005143002,0.001017049,0.001331291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005330874,"about_ca_system_score_gemma":0.0002850401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003493642,"about_ca_topic_score_gemma":0.009752407,"domain_scores_codex":[0.9995056,0.00002928561,0.000009981076,0.000149262,0.0002536121,0.00005216574],"domain_scores_gemma":[0.999599,0.000139224,0.00004654453,0.00003685127,0.0001582975,0.00002012078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001000597,0.00001858013,0.003197238,0.0001742717,0.00004262569,0.0001368957,0.0006009122,0.0005829895,0.9854383,0.0004730827,0.000253104,0.00898178],"study_design_scores_gemma":[0.00001884558,0.0003378868,0.04810478,0.00007855598,0.00008576585,0.0003962956,0.001009917,0.003983454,0.9072652,0.0005454556,0.03809984,0.00007393464],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496954,0.002952801,0.03155507,0.0002120501,0.0001480656,0.00006111901,0.001061439,0.0005073576,0.01380672],"genre_scores_gemma":[0.9299875,0.002511539,0.02912775,0.000267526,0.00003842803,0.0001428155,0.0013742,0.0005030965,0.03604701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007468076,"threshold_uncertainty_score":0.02498323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004262335005629496,"score_gpt":0.1628021309633567,"score_spread":0.1585397959577272,"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."}}