{"id":"W6981296227","doi":"","title":"Ed Pien, 1700 La Poste, Montréal","year":2019,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004675224,0.0003957314,0.000386742,0.0001552919,0.0002799205,0.00005493201,0.0006694579,0.0008567045,0.0005447321],"category_scores_gemma":[0.0001217386,0.0004266642,0.0003320927,0.0002443702,0.0003934412,0.00002257745,0.0009611902,0.000415305,0.001881959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370486,"about_ca_system_score_gemma":0.0002530587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358222,"about_ca_topic_score_gemma":0.007118463,"domain_scores_codex":[0.9972939,0.0001870184,0.0003511396,0.0005570837,0.0005708766,0.001039935],"domain_scores_gemma":[0.9980597,0.00008193741,0.0001767246,0.0007785808,0.000238719,0.0006642747],"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":[0.001051593,0.0005804574,0.003434071,0.0007191082,0.000755182,0.001150583,0.0006633237,0.0001891851,0.08905318,0.003576887,0.7030507,0.1957757],"study_design_scores_gemma":[0.002119482,0.0008679065,0.001360423,0.0000788531,0.00009579502,0.0004236193,0.0009222761,0.001565288,0.006848687,0.0001203473,0.9850943,0.0005029953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7123924,0.2022787,0.000710854,0.03117638,0.001519739,0.00081055,0.0003448949,0.00005482146,0.05071159],"genre_scores_gemma":[0.4568459,0.1086733,0.001953008,0.001078036,0.0006281206,0.000007401002,0.0004478299,0.00008482646,0.4302816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.37957,"threshold_uncertainty_score":0.9998185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00387986017097788,"score_gpt":0.1803034479983084,"score_spread":0.1764235878273305,"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."}}