{"id":"W6990340731","doi":"","title":"De la relation dâaide à la rencontre créative : le récit numérique comme outil de reconnaissance mutuelle","year":2013,"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); Publics; Subject (documents); Politics","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":[0.01018621,0.000868936,0.0005736317,0.00199214,0.007599541,0.02283796,0.00185997,0.003483472,0.02748895],"category_scores_gemma":[0.03325611,0.0006985665,0.0008296063,0.00219552,0.0177614,0.0178266,0.01082281,0.005798687,0.005116401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007169513,"about_ca_system_score_gemma":0.008001022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101089,"about_ca_topic_score_gemma":0.01057637,"domain_scores_codex":[0.9806895,0.01110153,0.0006362674,0.00261346,0.003666351,0.001292945],"domain_scores_gemma":[0.9725566,0.01416646,0.002810751,0.003992159,0.004911503,0.001562564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001717754,0.00007414819,0.004971241,0.0007557088,0.00004417275,0.0007835248,0.2209797,0.0005818407,0.004803942,0.6901664,0.007971047,0.06869662],"study_design_scores_gemma":[0.00002698984,0.0001420127,0.007202389,0.001056723,0.00006256079,0.001214748,0.1168595,0.001235448,0.005009923,0.08086976,0.7862155,0.0001043481],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1474178,0.008692666,0.09939779,0.03213528,0.00241338,0.0003223446,0.00032858,0.0005801726,0.708712],"genre_scores_gemma":[0.8487125,0.004534937,0.02097335,0.002505231,0.000539433,0.0004182743,0.0002142786,0.0007846346,0.1213174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02748895,"threshold_uncertainty_score":0.09195971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005285387284388317,"score_gpt":0.1627131402071839,"score_spread":0.1574277529227956,"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."}}