{"id":"W2274642567","doi":"10.58079/mtot","title":"Concasser de rencontres générationnelles","year":2015,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002398203,0.0005599855,0.0007939979,0.0002145537,0.001881739,0.0003142974,0.000564068,0.001124151,0.01267532],"category_scores_gemma":[0.001530555,0.0006315443,0.0002586598,0.0005206425,0.0005494186,0.01131755,0.0002618166,0.00119273,0.009845947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021856,"about_ca_system_score_gemma":0.002013961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003340292,"about_ca_topic_score_gemma":0.02192708,"domain_scores_codex":[0.9934177,0.002358161,0.001230572,0.0007778751,0.000925547,0.001290178],"domain_scores_gemma":[0.994896,0.0009380893,0.0007163488,0.0006371317,0.001652541,0.001159895],"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":[0.0001464881,0.0003846203,0.001871395,0.0002567239,0.0001473429,0.0001412531,0.02326311,0.0001092536,0.00005734053,0.3057624,0.6640283,0.003831798],"study_design_scores_gemma":[0.004687517,0.0005114888,0.01230479,0.001554334,0.0003851499,0.00004396292,0.1241846,0.0005229578,0.0006672736,0.07483184,0.779081,0.001225086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06121168,0.01859864,0.01357299,0.4284827,0.03342368,0.003628502,0.001554122,0.0008192082,0.4387085],"genre_scores_gemma":[0.7327953,0.001578732,0.002755874,0.1275387,0.01121507,0.0007422681,0.002123656,0.0001398991,0.1211105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6715836,"threshold_uncertainty_score":0.9996136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05376691853490149,"score_gpt":0.3548610742071465,"score_spread":0.301094155672245,"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."}}