{"id":"W7054580344","doi":"","title":"Aperçu synthétique de l'aide du Canada","year":2007,"lang":"fr","type":"other","venue":"Cairn.info","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":[0.0002160951,0.0006177371,0.0005698628,0.0001730958,0.0001844418,0.00007603567,0.0008305041,0.0009741986,0.401239],"category_scores_gemma":[0.0002129787,0.0006999974,0.0002292851,0.0003872452,0.0001664863,0.00004014468,0.0001585051,0.0008565695,0.0004132876],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007301029,"about_ca_system_score_gemma":0.001761959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7709896,"about_ca_topic_score_gemma":0.714165,"domain_scores_codex":[0.9974763,0.00002490565,0.0005637861,0.0006251447,0.0003987145,0.0009111497],"domain_scores_gemma":[0.9976839,0.0002673204,0.0003375649,0.00111724,0.0001070995,0.0004868034],"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":[0.00001180915,0.0001411584,0.004539588,0.0007637317,0.0002073122,0.000356199,0.0001503478,0.00001121073,0.006368923,0.3283876,0.6511264,0.00793559],"study_design_scores_gemma":[0.0001606896,0.00001660521,0.0002446824,0.0002601246,0.00009558631,0.0001794543,0.00006880615,0.0001304716,0.03751448,0.0005584455,0.9600688,0.000701834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001365375,0.001213713,0.003103051,0.002259576,0.000237865,0.0003168734,0.0002985202,0.0003089966,0.990896],"genre_scores_gemma":[0.02455458,0.0009304301,0.007016592,0.0009839329,0.001852043,0.0001724539,0.0001251038,0.0002995799,0.9640653],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4008257,"threshold_uncertainty_score":0.9995451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00675054173238967,"score_gpt":0.224874603883027,"score_spread":0.2181240621506373,"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."}}