{"id":"W7067353569","doi":"","title":"Le financement des études universitaires en Ontario : Rapport du Sondage auprès des candidats à l université en Ontario","year":2010,"lang":"fr","type":"other","venue":"QSpace (Queen's University Library)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Public policy; Legislation; Economic shortage","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":[0.00124514,0.0003923134,0.000394607,0.00149871,0.003515413,0.003413219,0.0006271901,0.0009500382,0.01324321],"category_scores_gemma":[0.003655589,0.000383134,0.0005142547,0.00408389,0.001093154,0.0009314682,0.001593273,0.001596883,0.0009758166],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07900568,"about_ca_system_score_gemma":0.100345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987649,"about_ca_topic_score_gemma":0.9946775,"domain_scores_codex":[0.9975866,0.000109065,0.00005696959,0.0001364842,0.001472171,0.0006388107],"domain_scores_gemma":[0.9948633,0.0003651915,0.0005318163,0.0001548583,0.002328862,0.001755976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008068644,0.0001665314,0.2107921,0.000856776,0.0002497439,0.001301346,0.01411084,0.005426659,0.002896455,0.1173422,0.3502673,0.2957833],"study_design_scores_gemma":[0.0000397437,0.00005045057,0.4061828,0.0001792179,0.00003166318,0.0001274054,0.002769548,0.001313605,0.0008083731,0.001504873,0.5869406,0.00005169309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5240275,0.04175536,0.004609088,0.1066207,0.001786784,0.0001846174,0.03548538,0.0004116884,0.2851189],"genre_scores_gemma":[0.6095129,0.01804919,0.002375813,0.001118735,0.0003865506,0.00006901337,0.003836056,0.0001511397,0.3645007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9209943,"threshold_uncertainty_score":0.573229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004834612159597,"score_gpt":0.1729821287480907,"score_spread":0.1629337826264948,"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."}}