{"id":"W7056687045","doi":"","title":"Gilbert Thibodeau, candidat à la mairie de Montréal","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indian ocean; Section (typography); Subject (documents)","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":["insufficient_payload"],"category_scores_codex":[0.0002831233,0.000491304,0.0005009433,0.00006067651,0.0002092903,0.0001668862,0.0006147649,0.0007012118,0.3372236],"category_scores_gemma":[0.0001197022,0.0005210227,0.000231899,0.00000604115,0.0002310878,4.778135e-7,0.000105021,0.0004978321,0.03005954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002567272,"about_ca_system_score_gemma":0.00008953037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05024337,"about_ca_topic_score_gemma":0.01244119,"domain_scores_codex":[0.9982686,0.00008548003,0.0005977952,0.0002233728,0.0003160074,0.0005087137],"domain_scores_gemma":[0.9982199,0.0002173384,0.0004187323,0.0007619312,0.0001200943,0.0002620219],"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":[0.00003350814,0.00004659246,0.000007291834,0.0006671954,0.0001417351,0.00004172891,0.0003254154,0.005181493,0.000004005597,0.001780004,0.9842631,0.007507924],"study_design_scores_gemma":[0.0005939185,0.00005209229,0.00005679689,0.0004411901,0.0001393859,0.0002077318,0.00005135841,0.0008507798,0.00006122859,0.0001211237,0.9969063,0.0005180349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006273596,0.001144333,0.00004455604,0.0008759499,0.0003194,0.000491666,0.0003321627,0.0001811327,0.9965481],"genre_scores_gemma":[0.002271896,0.001412813,0.004471757,0.0001531085,0.0003013638,0.00005725528,0.0001994585,0.0001349349,0.9909974],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3071641,"threshold_uncertainty_score":0.9997241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004327848315796453,"score_gpt":0.1721377104954231,"score_spread":0.1678098621796267,"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."}}