{"id":"W7047893118","doi":"","title":"Inférence statique et par contraintes des relations de composition dans des programmes Java","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relation (database); Control (management); Set (abstract data type); Government (linguistics); Work (physics)","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":[0.003851514,0.001519314,0.001178033,0.001158269,0.001477379,0.004463404,0.001311998,0.001375755,0.01084001],"category_scores_gemma":[0.008167065,0.001470841,0.002357557,0.001068906,0.00208515,0.004114395,0.001502443,0.004232693,0.002813074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002383202,"about_ca_system_score_gemma":0.002091956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291167,"about_ca_topic_score_gemma":0.03731713,"domain_scores_codex":[0.994597,0.001244969,0.0003046803,0.0008992064,0.002643628,0.0003105006],"domain_scores_gemma":[0.9942194,0.004243708,0.0002551595,0.0005994148,0.0005522305,0.0001300955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001847505,0.0005107236,0.006488095,0.0006869568,0.0001841572,0.0007768473,0.002181236,0.1158284,0.05147363,0.41658,0.01274916,0.3906935],"study_design_scores_gemma":[0.0003640416,0.0002178241,0.003709013,0.0002012045,0.0001271098,0.0004801547,0.0003516064,0.7231963,0.06183168,0.103153,0.1062157,0.0001524469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03677137,0.0002432607,0.9420632,0.0002886413,0.000109642,0.00006751395,0.0003667594,0.008435202,0.01165446],"genre_scores_gemma":[0.2250151,0.0006018646,0.7164678,0.0002822377,0.0001975344,0.0002838343,0.001758637,0.006642712,0.04875021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02291167,"threshold_uncertainty_score":0.0455566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003082702091953141,"score_gpt":0.1508575580277146,"score_spread":0.1477748559357615,"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."}}