{"id":"W6948697222","doi":"10.5169/seals-1051103","title":"Le programme national d'infiltration de la Gendarmerie Royale du Canada en matière d'opérations d'infiltration à long terme","year":2003,"lang":"fr","type":"article","venue":"E-Periodica","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; Context (archaeology); Government (linguistics)","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":[0.00590631,0.0009973709,0.001034941,0.002390338,0.003447737,0.003701788,0.002069958,0.002395991,0.05641278],"category_scores_gemma":[0.005100244,0.000545161,0.0009433989,0.001358735,0.001891023,0.001127903,0.002905,0.003654905,0.01052535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02562704,"about_ca_system_score_gemma":0.1107072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7748725,"about_ca_topic_score_gemma":0.7826907,"domain_scores_codex":[0.9922552,0.0005254092,0.0001492865,0.0004986266,0.00467365,0.001897861],"domain_scores_gemma":[0.9864323,0.0007639648,0.0006775631,0.0008531344,0.007219463,0.004053698],"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":[0.00222697,0.0004380838,0.02012303,0.0006516083,0.0001760504,0.001271651,0.001690742,0.003534734,0.03904024,0.1326832,0.5072801,0.2908837],"study_design_scores_gemma":[0.0001644448,0.0001763681,0.03425967,0.0001646417,0.00002746911,0.0004591552,0.0004409229,0.001253615,0.004389445,0.00117944,0.9574241,0.00006077799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1702341,0.03026607,0.04619801,0.1045152,0.0131918,0.002375317,0.03248097,0.007784604,0.5929539],"genre_scores_gemma":[0.1448128,0.003667281,0.02044881,0.002983599,0.0003189987,0.0003861939,0.005077496,0.0006975261,0.8216074],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2251275,"threshold_uncertainty_score":0.4529067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00413793405340341,"score_gpt":0.2289110904496939,"score_spread":0.2247731563962905,"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."}}