{"id":"W7146086187","doi":"","title":"PISA 2006 Science in Canada : Context, Results and Possible Explanations","year":2008,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Mathematics Education and Programs","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Field (mathematics); Agency (philosophy)","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":[0.0008537088,0.0003512983,0.0004103215,0.0003145158,0.001591982,0.0002378605,0.0004957051,0.00009312668,0.00009085811],"category_scores_gemma":[0.003271446,0.0003551073,0.00004673198,0.001143607,0.001400661,0.001029704,0.0002499619,0.0003980147,0.00002744803],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616138,"about_ca_system_score_gemma":0.01839767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6033565,"about_ca_topic_score_gemma":0.7200199,"domain_scores_codex":[0.9961413,0.00009006829,0.001147212,0.0006972438,0.00134791,0.0005762928],"domain_scores_gemma":[0.9969689,0.0007436019,0.000404406,0.0008547185,0.0006119137,0.0004164639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003776358,0.001857458,0.03760962,0.001327004,0.0001410803,0.00158964,0.01752976,0.0001424969,0.000820731,0.8130596,0.1236233,0.001921621],"study_design_scores_gemma":[0.01365655,0.0004862032,0.08930723,0.007872064,0.0004505394,0.01144587,0.02998642,0.01327853,0.01804849,0.01560274,0.7942989,0.005566379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331201,0.00201564,0.0007766376,0.002436691,0.007146786,0.001250346,0.004830646,0.00009873568,0.04832438],"genre_scores_gemma":[0.9883859,0.0002928874,0.007593731,0.0002036802,0.0003841725,0.00007230374,0.0004106548,0.00002070064,0.002635958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7974569,"threshold_uncertainty_score":0.9998901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073289094438314,"score_gpt":0.2955040979682951,"score_spread":0.244771207023912,"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."}}