{"id":"W7008717003","doi":"","title":"De la typicité des différentes mesures de tendance centrale dans la représentation mentale des catégories implicites","year":2011,"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); Gens; Information professional","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":[0.003099626,0.0009670823,0.0005558862,0.001618139,0.002165949,0.009658971,0.001253759,0.002294489,0.02344501],"category_scores_gemma":[0.01129798,0.0006851417,0.001266085,0.001354212,0.01323735,0.01646739,0.005367415,0.004852131,0.003498378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075313,"about_ca_system_score_gemma":0.001973646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005397267,"about_ca_topic_score_gemma":0.005816156,"domain_scores_codex":[0.996579,0.0009854742,0.0001962314,0.00111451,0.0007814903,0.0003432961],"domain_scores_gemma":[0.9937857,0.001812832,0.00102889,0.001446716,0.001535303,0.0003904451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002924629,0.00007092437,0.01654612,0.0005497008,0.0001141632,0.0006601992,0.0790504,0.0008534264,0.01788809,0.8238742,0.004147431,0.05595293],"study_design_scores_gemma":[0.0000746899,0.0003374939,0.06024929,0.0006518295,0.0001883975,0.002668066,0.07703859,0.00470216,0.01054254,0.5459769,0.2973009,0.0002691598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3275615,0.003709717,0.1773099,0.0147902,0.001256404,0.0001940838,0.0007210132,0.0007369907,0.4737203],"genre_scores_gemma":[0.8993837,0.001575478,0.0304621,0.001067632,0.0002339349,0.0001802159,0.0004823674,0.0004477163,0.0661668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02344501,"threshold_uncertainty_score":0.07843137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003491595771672064,"score_gpt":0.1749586998442191,"score_spread":0.171467104072547,"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."}}