{"id":"W7067545022","doi":"","title":"L’histoire en images : \\n Natashquan et Labrador","year":2009,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Context (archaeology); Line (geometry); Identification (biology)","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":[0.001860894,0.0006344525,0.0003416178,0.0009884401,0.01594547,0.006436212,0.001034971,0.002123664,0.01402689],"category_scores_gemma":[0.00275665,0.0003013558,0.0002589824,0.00128309,0.01121745,0.003343511,0.002244423,0.004057431,0.001728283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02004651,"about_ca_system_score_gemma":0.01353839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4724151,"about_ca_topic_score_gemma":0.7016981,"domain_scores_codex":[0.9987932,0.0005156753,0.00002271221,0.000114823,0.0002937058,0.0002597354],"domain_scores_gemma":[0.9992873,0.0001747761,0.0000632279,0.00004134122,0.0003294031,0.0001040173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004193706,0.0000153956,0.0007102857,0.0001587286,0.000007413011,0.0002932279,0.06408654,0.0000510603,0.0004104398,0.4673851,0.4436165,0.0232233],"study_design_scores_gemma":[0.000002279457,0.000002136535,0.0005325011,0.00008365788,0.00000227678,0.00008271503,0.009572946,0.00001891596,0.0001459424,0.002492171,0.9870574,0.000006990328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02840143,0.07062474,0.002946013,0.3979542,0.02070781,0.00007183426,0.0003193274,0.0001041458,0.4788704],"genre_scores_gemma":[0.3722442,0.02026519,0.001791387,0.02926591,0.00307365,0.00006968232,0.00009469703,0.0003461121,0.5728492],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5275849,"threshold_uncertainty_score":0.9393307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003962173438595167,"score_gpt":0.167066947305356,"score_spread":0.1631047738667609,"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."}}