{"id":"W6987333847","doi":"","title":"State of learning in Canada no time for complacency : report on learning in Canada 2007","year":2007,"lang":"en","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Government (linguistics); Power (physics); State government","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":[0.001214899,0.0003558085,0.0005551454,0.003878162,0.005304367,0.00492405,0.001972117,0.001155609,0.01877867],"category_scores_gemma":[0.004371515,0.0004259794,0.000590749,0.0103692,0.001066497,0.001263035,0.002143205,0.001585523,0.001792617],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1031199,"about_ca_system_score_gemma":0.3149149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990218,"about_ca_topic_score_gemma":0.9994753,"domain_scores_codex":[0.9964707,0.00008251063,0.0001315372,0.0001355586,0.001804455,0.001375382],"domain_scores_gemma":[0.9879087,0.0002739669,0.0004284336,0.0001147728,0.007656929,0.00361731],"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":[0.0002122618,0.0002575469,0.1875406,0.0005036319,0.00008434869,0.000219676,0.003485854,0.0006833356,0.0001960627,0.00868555,0.7059519,0.09217932],"study_design_scores_gemma":[0.00004843124,0.00004502078,0.6931062,0.0004766459,0.00005427762,0.0000604192,0.01125166,0.00065836,0.0004567895,0.0004359656,0.2933212,0.00008508764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.2946897,0.01072046,0.0008217247,0.07273268,0.001151592,0.0007802104,0.372442,0.0009426655,0.2457189],"genre_scores_gemma":[0.5960696,0.01045444,0.001721569,0.004985798,0.0001728486,0.0004729202,0.06722303,0.000237942,0.3186617],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8968801,"threshold_uncertainty_score":0.7481905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007702790490992461,"score_gpt":0.2173497845741023,"score_spread":0.2096469940831098,"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."}}