{"id":"W3079686","doi":"10.1016/0090-1229(86)90143-1","title":"Quelques petites anecdotes pour de petites âmes en peine. Jean-Louis Grosmaire, Les Petites Âmes : histoires d’animaux de France et du Canada, Toronto, Éditions du Gref, coll. « Athéna », no 8, 2005, 228 p.Jean-Louis Grosmaire, Les Petites Âmes : histoires d’animaux de France et du Canada, Toronto, Éditions du Gref, coll. « Athéna », no 8, 2005, 228 p.","year":2006,"lang":"en","type":"article","venue":"Liaison","topic":"French Urban and Social Studies","field":"Social Sciences","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":["metaepi_narrow"],"category_scores_codex":[0.001689654,0.001957934,0.002111509,0.0002161389,0.008913302,0.001030519,0.002041709,0.0008882232,0.006245919],"category_scores_gemma":[0.006489296,0.002120998,0.0008074843,0.0006929988,0.002567005,0.001937227,0.0004473734,0.001051142,0.00007938236],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01223864,"about_ca_system_score_gemma":0.009075957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970386,"about_ca_topic_score_gemma":0.9994879,"domain_scores_codex":[0.9884117,0.001694883,0.001866188,0.002022914,0.002427547,0.003576779],"domain_scores_gemma":[0.9895256,0.005333176,0.001194951,0.0009705256,0.00178664,0.001189063],"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":[0.00008998445,0.0007109667,0.1886671,0.0002601766,0.0002924678,0.000277186,0.005191565,0.0003814987,0.0006831848,0.0403941,0.7625854,0.0004663962],"study_design_scores_gemma":[0.0012851,0.0002673852,0.1070488,0.0006632122,0.0003344665,0.00004330317,0.006425416,0.0007702316,0.0003265216,0.001847058,0.8786455,0.002343057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2547335,0.3769064,0.001029787,0.1363114,0.007106631,0.004175122,0.01195222,0.002967047,0.2048179],"genre_scores_gemma":[0.6662066,0.1388655,0.007018824,0.003901122,0.01323334,0.001390698,0.001000894,0.0005242614,0.1678588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4114731,"threshold_uncertainty_score":0.9993164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007440751360583284,"score_gpt":0.2195325729369831,"score_spread":0.2120918215763999,"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."}}