{"id":"W7033549727","doi":"","title":"Québec solidaire : bilan de campagne. Continuer le combat !","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluid ounce (US); Public health; Context (archaeology)","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":[0.0004410581,0.0003159749,0.0003338828,0.0001159459,0.0009975212,0.00003515425,0.0005207349,0.0002954669,0.004987552],"category_scores_gemma":[0.00004056163,0.0003787997,0.0001695845,0.0005763932,0.0005218979,0.0004307018,0.0007518732,0.0003168389,0.01210909],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01578922,"about_ca_system_score_gemma":0.0001652751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6489043,"about_ca_topic_score_gemma":0.7183191,"domain_scores_codex":[0.9972799,0.0001806184,0.0002383851,0.0005314957,0.0003834929,0.001386103],"domain_scores_gemma":[0.9983378,0.0001155734,0.0001293336,0.0004654366,0.000006848084,0.0009449859],"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":[0.00007037443,0.0002240085,0.0756051,0.00007806739,0.00006305116,0.002110734,0.003638966,0.001600313,0.003320467,0.00128789,0.7844463,0.1275547],"study_design_scores_gemma":[0.0007827883,0.0001048767,0.1253666,0.00004014858,0.00004328931,0.0001702835,0.002526991,0.002639659,0.0003376973,0.0002942632,0.8673456,0.0003478095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705073,0.02427521,0.0000881352,0.1860943,0.0004094958,0.0002981563,0.0001105446,0.0002304444,0.01798647],"genre_scores_gemma":[0.6095872,0.01258454,0.0002634026,0.001196092,0.0001496888,0.0000120742,0.00005359592,0.00005388423,0.3760996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3581131,"threshold_uncertainty_score":0.9998664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005614897173168343,"score_gpt":0.168837294509163,"score_spread":0.1632223973359946,"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."}}