{"id":"W3082807816","doi":"","title":"РЕЦ. НА: N.-M. DAWSON. FOURRURES ET FORETS METISSERENT LES MONTAGNAIS. REGARD SUR LES SANG-MELES AU ROYAUME DU SAGUENAY. QUEBEC, 2011","year":2015,"lang":"ru","type":"article","venue":"Этнографическое обозрение","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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","insufficient_payload"],"category_scores_codex":[0.003120828,0.001490551,0.002051864,0.0003809872,0.002862114,0.0008629736,0.00190561,0.001240946,0.001559097],"category_scores_gemma":[0.002195871,0.001401101,0.001063426,0.0008033829,0.002469549,0.001138726,0.0007991549,0.001260496,0.001060004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588261,"about_ca_system_score_gemma":0.002158365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7398052,"about_ca_topic_score_gemma":0.8909599,"domain_scores_codex":[0.9896388,0.001848969,0.001553223,0.00166341,0.002653128,0.002642468],"domain_scores_gemma":[0.9941713,0.0009839738,0.0009941109,0.001050223,0.001296542,0.001503836],"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":[0.0002149385,0.0007737685,0.06444526,0.000178909,0.00077839,0.0001633104,0.07497314,0.00009132545,0.00005790306,0.03645909,0.7856588,0.03620514],"study_design_scores_gemma":[0.002716477,0.0006553285,0.1157429,0.0005567929,0.0005804263,0.00001009822,0.04017692,0.0001819486,0.0002775981,0.006826347,0.829843,0.00243212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775213,0.161591,0.000557245,0.03296595,0.01216744,0.002837773,0.0004978605,0.001189424,0.2106719],"genre_scores_gemma":[0.9319779,0.008423344,0.0003385435,0.00064894,0.004335197,0.0001906416,0.0001337541,0.0001907534,0.0537609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3544566,"threshold_uncertainty_score":0.9997844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09692947933646473,"score_gpt":0.2794106612893604,"score_spread":0.1824811819528956,"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."}}