{"id":"W7002357221","doi":"","title":"\\n Éveil / Fabulation, Vox, Montréal, 28 avril au 16 octobre et 8 mai au 10 juillet 2004","year":2005,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Agency (philosophy); Population","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":[0.001040079,0.001309702,0.0007934837,0.001591864,0.002207162,0.002803089,0.001592247,0.0006252624,0.1117633],"category_scores_gemma":[0.0021135,0.0005578987,0.0007077344,0.001832058,0.0008234878,0.0006806066,0.000741889,0.0009978201,0.020082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008640329,"about_ca_system_score_gemma":0.008045627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8472754,"about_ca_topic_score_gemma":0.9046107,"domain_scores_codex":[0.9993319,0.00008009267,0.00001576411,0.0001820167,0.0002698734,0.0001204747],"domain_scores_gemma":[0.9994655,0.00007020672,0.00002327669,0.00005472008,0.0002832133,0.0001030696],"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":[0.0007737136,0.0001165315,0.008825168,0.0003299148,0.0001260134,0.0004558511,0.0005143808,0.002748822,0.002840671,0.005855237,0.8286417,0.1487722],"study_design_scores_gemma":[0.0002537476,0.00009633716,0.09849381,0.0002048387,0.00008075167,0.0001220679,0.0006056543,0.003830218,0.004836034,0.00202611,0.8893519,0.00009856909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.09608347,0.01807491,0.03424512,0.009584676,0.003912289,0.0009781925,0.4152832,0.02489909,0.3969391],"genre_scores_gemma":[0.08573741,0.003615817,0.02256394,0.0003815867,0.0002280464,0.0002891779,0.04642403,0.002668391,0.8380915],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8472754,"threshold_uncertainty_score":0.3738854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009056800176564059,"score_gpt":0.187788081846912,"score_spread":0.1787312816703479,"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."}}