{"id":"W7071049326","doi":"","title":"Rendre compte de sa recherche de façon captivante!","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Adaptation (eye); 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02122593,0.001521357,0.00161461,0.004275579,0.006792889,0.0215706,0.003521207,0.007624615,0.1729159],"category_scores_gemma":[0.0880959,0.0007224945,0.001641379,0.006147402,0.01353642,0.01967991,0.008108489,0.01396129,0.1187789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01652763,"about_ca_system_score_gemma":0.0475457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1881378,"about_ca_topic_score_gemma":0.2347621,"domain_scores_codex":[0.9707322,0.006729238,0.001055589,0.002886597,0.01662891,0.001967584],"domain_scores_gemma":[0.9040036,0.01242228,0.002714373,0.01581426,0.05629528,0.008750244],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002486784,0.00002229941,0.0002887526,0.0002991006,0.00002423862,0.00009536118,0.001708567,0.00004218266,0.0004519154,0.03383928,0.9201968,0.04300673],"study_design_scores_gemma":[0.000003527472,0.000003356328,0.0001350285,0.0002701006,0.000005253338,0.00004754284,0.0005389315,0.00001891589,0.00008633034,0.002340661,0.9965394,0.00001093163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001106933,0.03213957,0.00714525,0.5694999,0.07941614,0.0002011723,0.002077697,0.001973083,0.3064403],"genre_scores_gemma":[0.02026117,0.03238392,0.01354339,0.1340076,0.02602275,0.0002870374,0.002547328,0.004530807,0.7664161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9787741,"threshold_uncertainty_score":0.5784614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398257268722307,"score_gpt":0.2806681786205428,"score_spread":0.2366856059333197,"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."}}