{"id":"W6910246702","doi":"10.4224/40002762","title":"La science à l'oeuvre pour le Canada : rapport annuel du CNRC 2001-2002","year":2002,"lang":"fr","type":"report","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Government (linguistics); Context (archaeology); Work (physics)","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":[0.004438779,0.0009423236,0.0008154064,0.004186281,0.005126795,0.00746603,0.001644684,0.004250878,0.03334869],"category_scores_gemma":[0.009243395,0.000675369,0.0008071185,0.005778096,0.001388308,0.00183127,0.002529438,0.003436008,0.003920311],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07876803,"about_ca_system_score_gemma":0.2457405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776949,"about_ca_topic_score_gemma":0.9846542,"domain_scores_codex":[0.990628,0.0003697678,0.0002242768,0.0002785894,0.007137808,0.001361568],"domain_scores_gemma":[0.9881524,0.0009117469,0.0003993924,0.0003737053,0.008624553,0.001538112],"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":[0.0006498788,0.0001928743,0.01139563,0.001067518,0.00007787743,0.0007192128,0.00129925,0.002205782,0.002511533,0.05645524,0.8148879,0.1085372],"study_design_scores_gemma":[0.00003757177,0.00004293533,0.01789603,0.0001862441,0.00002095986,0.00006794252,0.0005448462,0.0003772356,0.001622403,0.0008599428,0.9783128,0.00003107075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05174623,0.05259018,0.006588337,0.1412836,0.0067881,0.001132281,0.07789253,0.001732901,0.6602459],"genre_scores_gemma":[0.07069306,0.01578785,0.005513084,0.00353316,0.0003032475,0.0002401018,0.008684973,0.0002653114,0.8949793],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.921232,"threshold_uncertainty_score":0.5715047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086209412676829,"score_gpt":0.2246914120523312,"score_spread":0.1938293179255629,"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."}}