{"id":"W7067705424","doi":"","title":"\\n Si le temps le permet Canada [Québec] 2003, 28 minutes","year":2004,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Subject (documents); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001392393,0.0003433819,0.0004209758,0.0003358027,0.001837535,0.000253939,0.001812586,0.0001353191,0.0005173866],"category_scores_gemma":[0.0007123201,0.0003738464,0.0001652737,0.00221059,0.0002893793,0.0005769284,0.001374141,0.0002508517,0.0006558783],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009851894,"about_ca_system_score_gemma":0.004723351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948332,"about_ca_topic_score_gemma":0.9994147,"domain_scores_codex":[0.995881,0.0001865387,0.0004577098,0.001174962,0.001388869,0.0009109328],"domain_scores_gemma":[0.9969317,0.0003264971,0.0002939652,0.001486659,0.0004233994,0.0005377592],"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":[0.00002851659,0.0001483968,0.0003136341,0.00001568733,0.00007352743,0.002018581,0.0005286005,0.007594305,0.00005088132,0.01824664,0.8808388,0.0901424],"study_design_scores_gemma":[0.001238774,0.00005439528,0.001038296,0.00006962767,0.00006853252,0.0001829657,0.00704091,0.003719448,0.0001640773,0.00167977,0.9843225,0.0004207401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2116824,0.1457925,0.009124362,0.592994,0.007715074,0.0006244438,0.0006394184,0.0001956551,0.03123209],"genre_scores_gemma":[0.147136,0.0008292298,0.003063037,0.001248187,0.0002154708,0.000002914297,0.00005923025,0.00003189161,0.8474141],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.816182,"threshold_uncertainty_score":0.9998714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759535062523374,"score_gpt":0.2000939793903862,"score_spread":0.1824986287651525,"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."}}