{"id":"W7061612188","doi":"","title":"Rapport du président","year":2020,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Social impact; Quantitative methodology","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":[0.002187159,0.0006089238,0.0006138728,0.0008901478,0.0041393,0.004376952,0.0008056716,0.003405382,0.1560514],"category_scores_gemma":[0.007367311,0.0003283294,0.000365564,0.0008469417,0.000649014,0.002123627,0.002401157,0.005962773,0.05805214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00298575,"about_ca_system_score_gemma":0.00713279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009588884,"about_ca_topic_score_gemma":0.01599624,"domain_scores_codex":[0.9969587,0.0005344282,0.00009775301,0.000474302,0.001122628,0.0008120832],"domain_scores_gemma":[0.996769,0.0004060114,0.0001376,0.0002354648,0.001412107,0.001039939],"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":[0.00002484657,0.0000152284,0.0002454171,0.00005066317,0.000004303819,0.0001940587,0.000253196,0.00001687699,0.0001494649,0.01395305,0.9673679,0.01772493],"study_design_scores_gemma":[0.000001494773,0.000006373334,0.0002410506,0.00002032558,0.000001624612,0.0000546415,0.0001063421,0.000008636312,0.00005691275,0.0002455024,0.9992542,0.000002845445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005509256,0.01425439,0.001004789,0.2266286,0.123909,0.0001336068,0.001800947,0.0004398363,0.6263195],"genre_scores_gemma":[0.02352727,0.003966685,0.0004891275,0.03045748,0.00775726,0.00007289625,0.0005147164,0.0002327389,0.9329818],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1560514,"threshold_uncertainty_score":0.5220439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320048416621577,"score_gpt":0.2430677718654114,"score_spread":0.2198672876991956,"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."}}