{"id":"W7066175109","doi":"","title":"Interactions sociales et rÃ©seaux sociaux en Ã©conomique : modÃ©lisation et estimation","year":2014,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Research methodology; Sociology of the family","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007583687,0.001235623,0.001274424,0.002836499,0.001029892,0.005073127,0.001863359,0.001195714,0.0119167],"category_scores_gemma":[0.02353122,0.0008654156,0.001901753,0.004284169,0.002040626,0.003876186,0.001904151,0.00188062,0.001906908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004891114,"about_ca_system_score_gemma":0.00434752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07997622,"about_ca_topic_score_gemma":0.08079321,"domain_scores_codex":[0.9949834,0.002376901,0.0002223923,0.001154064,0.0010546,0.000208666],"domain_scores_gemma":[0.9852351,0.01051629,0.001526303,0.001206854,0.001329661,0.0001857973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002020767,0.0002309527,0.3797271,0.001498617,0.001474782,0.0002353556,0.005404991,0.05946773,0.002219663,0.1896932,0.008258058,0.3515876],"study_design_scores_gemma":[0.00006480434,0.0003898579,0.4645243,0.001220489,0.00051366,0.000410641,0.00542012,0.2886148,0.004316967,0.1317829,0.1024611,0.000280382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2818372,0.009968023,0.6330351,0.009886287,0.0002839259,0.0008942123,0.007852227,0.0008965913,0.05534643],"genre_scores_gemma":[0.72722,0.01018402,0.2218287,0.0006091011,0.0002657496,0.001236523,0.004738333,0.0002099057,0.03370767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07997622,"threshold_uncertainty_score":0.1590214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117620785937107,"score_gpt":0.2039100002658654,"score_spread":0.1921479216721547,"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."}}