{"id":"W7055185167","doi":"","title":"Comprendre l’hétérogénéité dans l’évolution de la solitude pendant la pandémie : une étude longitudinale pancanadienne","year":2023,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solitude; Population; Limiting","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":[0.002258894,0.0003585231,0.0003539381,0.0006501938,0.001400908,0.001061115,0.0005634865,0.0005529444,0.002312485],"category_scores_gemma":[0.003114502,0.0006145806,0.0008713258,0.001253868,0.0007092942,0.001077229,0.0009133506,0.0009795458,0.0003149477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144772,"about_ca_system_score_gemma":0.001447303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.101868,"about_ca_topic_score_gemma":0.163415,"domain_scores_codex":[0.9992811,0.000258628,0.00005018742,0.0002053511,0.00007348152,0.0001312615],"domain_scores_gemma":[0.9986618,0.0002677756,0.000389199,0.0001967679,0.0003491087,0.0001354378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001625903,0.00009784521,0.9834273,0.00009393892,0.0003572076,0.0001386193,0.007192447,0.0001264748,0.001041774,0.0002485129,0.0003842265,0.006729195],"study_design_scores_gemma":[0.000004884482,0.000110187,0.9954111,0.00005340693,0.00008469505,0.00006667785,0.002563669,0.0001270747,0.0001414091,0.00007226542,0.001355496,0.000009073156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962556,0.0008042636,0.0007335352,0.0002154267,0.00002596182,0.00005300664,0.0009224834,0.000006726189,0.0009828624],"genre_scores_gemma":[0.9940097,0.0008038983,0.001420816,0.0001353971,0.00001329046,0.0002762937,0.001189456,0.00001150597,0.002139529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.898132,"threshold_uncertainty_score":0.2025501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006384133771959927,"score_gpt":0.1820781630672092,"score_spread":0.1756940292952492,"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."}}