{"id":"W2163387422","doi":"","title":"Analysing cycles in biology and medicine","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Education / Revue canadienne de l éducation","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Mathematics education; Biology; Computational biology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007412948,0.00007992535,0.0001316857,0.0005181747,0.00005852945,0.00001262177,0.0001686875,0.0001109214,0.00005655787],"category_scores_gemma":[0.001070891,0.00007647167,0.00002779189,0.0001887146,0.0001863235,0.00001001275,0.000007960611,0.0001142695,0.000001352782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003072112,"about_ca_system_score_gemma":0.002967357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02459865,"about_ca_topic_score_gemma":0.469206,"domain_scores_codex":[0.9991242,0.00006595242,0.0003469854,0.0001148154,0.00003179652,0.0003162236],"domain_scores_gemma":[0.9986221,0.00001511895,0.0001632514,0.000145923,0.0002874679,0.0007661525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008176843,0.0001863973,0.5818293,0.0003003417,0.0001742399,0.00002648844,0.09160402,0.00001801083,0.04236048,0.006618072,0.0181716,0.2586293],"study_design_scores_gemma":[0.0009346138,0.001192292,0.8365029,0.0004077206,0.00009301132,0.0007499814,0.04877699,0.0001794278,0.004864671,0.01668938,0.08911596,0.0004931112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944779,0.001084293,0.000264336,0.001410208,0.0007671826,0.00006642877,0.000004329323,6.615088e-7,0.001924673],"genre_scores_gemma":[0.9975976,0.0002854479,0.001088113,0.0003497343,0.0003974888,0.000003476471,0.00004343494,0.000007359345,0.0002273651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4446073,"threshold_uncertainty_score":0.9818966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05045344263083577,"score_gpt":0.3241022748399228,"score_spread":0.273648832209087,"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."}}