{"id":"W6966538666","doi":"10.4224/40002763","title":"La science à l'oeuvre pour le Canada: Conseil national de recherches Canada : rapport annuel du CNRC 2004-2005","year":2005,"lang":"fr","type":"report","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Work (physics); Selection (genetic algorithm); Perspective (graphical)","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":[0.006734475,0.001374558,0.001355621,0.005152789,0.005090797,0.007737983,0.002382342,0.003673614,0.02798497],"category_scores_gemma":[0.009062507,0.0009282508,0.001138041,0.00830778,0.001887859,0.00227994,0.002461823,0.003586766,0.003719253],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1118177,"about_ca_system_score_gemma":0.3717805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9868161,"about_ca_topic_score_gemma":0.989056,"domain_scores_codex":[0.9892239,0.0005066683,0.0002730259,0.000382034,0.008000179,0.00161422],"domain_scores_gemma":[0.9841515,0.001023924,0.0004930301,0.0005400033,0.01177454,0.002017007],"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":[0.0004647122,0.0001470623,0.007522698,0.0008055497,0.00009608939,0.0003668076,0.0008561941,0.001872839,0.001427099,0.04736569,0.8619661,0.07710934],"study_design_scores_gemma":[0.00005521245,0.00003387597,0.01486796,0.000243537,0.00003474268,0.00007043157,0.0005101229,0.0005262835,0.001852889,0.00156003,0.9801984,0.00004638323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.03726205,0.08197028,0.009968883,0.1731058,0.00957541,0.001351405,0.1412352,0.003113068,0.542418],"genre_scores_gemma":[0.08373827,0.02757646,0.0142379,0.003958796,0.0003407396,0.0004005449,0.01664881,0.0005780319,0.8525204],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.8881823,"threshold_uncertainty_score":0.8112977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090888627451829,"score_gpt":0.2641015221686757,"score_spread":0.2031926358941574,"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."}}