{"id":"W7104280768","doi":"10.71781/547","title":"Première Nation anichinabée de Grassy Narrows : association entre l’exposition alimentaire au méthylmercure et les structures rétiniennes observées par tomographie par cohérence optique (OCT)","year":2025,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zea mays","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":[0.000242515,0.0002817358,0.0002019984,0.0002915231,0.0005919938,0.0004981616,0.0002167818,0.000379773,0.001640996],"category_scores_gemma":[0.0005814731,0.0002131575,0.0001917936,0.0003251679,0.0004381078,0.0002718699,0.0003238058,0.0003019975,0.0001498921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260596,"about_ca_system_score_gemma":0.0006847238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1271089,"about_ca_topic_score_gemma":0.329398,"domain_scores_codex":[0.9997625,0.00002499918,0.000009400494,0.0001057902,0.00006669341,0.00003063116],"domain_scores_gemma":[0.9995483,0.00005980579,0.0002091933,0.00002658165,0.0001011734,0.00005487716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005633794,0.000096126,0.9697313,0.00007452884,0.0001471653,0.0001644186,0.001246053,0.00005317008,0.02276554,0.00004646072,0.0001717401,0.004940094],"study_design_scores_gemma":[0.00000277385,0.0001534897,0.9983596,0.000005448615,0.00003151557,0.00005943481,0.0003940883,0.00003528193,0.0005359164,0.00001449331,0.0004055399,0.000002411977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992137,0.0001785824,0.00009109723,0.00002242636,0.000001824307,0.000007090071,0.0001318385,0.000002737486,0.0003506337],"genre_scores_gemma":[0.9969814,0.0001969722,0.0003259727,0.00005423404,0.000002454767,0.00002218989,0.0002284833,0.000003312683,0.002184968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8728911,"threshold_uncertainty_score":0.2527382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518252302442642,"score_gpt":0.3069724246708532,"score_spread":0.2817899016464268,"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."}}