{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009554397,0.002870685,0.001441145,0.001664469,0.005485444,0.005300167,0.002085595,0.001934616,0.6581993],"category_scores_gemma":[0.00169912,0.0009433778,0.001145447,0.001860961,0.001132017,0.001374456,0.001664734,0.002674541,0.2275938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00718955,"about_ca_system_score_gemma":0.009084531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4236776,"about_ca_topic_score_gemma":0.7148184,"domain_scores_codex":[0.9986781,0.0001723825,0.00004085516,0.0003939649,0.0004416725,0.0002729641],"domain_scores_gemma":[0.9989166,0.0002539761,0.00006861518,0.0001105394,0.0003535554,0.0002967673],"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":[0.001054551,0.0004959531,0.005200988,0.0008208778,0.0001730931,0.001822557,0.0006234514,0.002222115,0.008600885,0.02181588,0.4801915,0.4769782],"study_design_scores_gemma":[0.0001457534,0.0001692596,0.01482455,0.00025122,0.00004675767,0.0005894587,0.0003286453,0.000478782,0.001595364,0.001086178,0.9804274,0.00005659162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01229624,0.03862463,0.003662819,0.005427412,0.002398091,0.0003105775,0.01776353,0.001990563,0.9175262],"genre_scores_gemma":[0.009476802,0.004085267,0.001883802,0.0005444081,0.0001099383,0.00007961434,0.001589157,0.0003767047,0.9818543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5763224,"threshold_uncertainty_score":0.842423,"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."}}