{"id":"W2060682979","doi":"10.1080/14926150209556534","title":"Unweaving time and food chains: Two classroom exercises in scientific and emotional literacy","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Literacy; Psychology; Scientific literacy; Multimedia; Mathematics education; Computer science; Pedagogy; Science education","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":[0.0006286158,0.00007658923,0.0001241474,0.001777541,0.0003934126,0.0002441848,0.0001967192,0.00005010701,0.00009256331],"category_scores_gemma":[0.0003507855,0.0000721733,0.000009079702,0.001159473,0.002309659,0.0003485698,0.00002058523,0.0001572741,0.000005998274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006627466,"about_ca_system_score_gemma":0.0005326124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005939445,"about_ca_topic_score_gemma":0.0003234646,"domain_scores_codex":[0.999194,0.00001362185,0.0002364497,0.000211523,0.0001213419,0.0002230973],"domain_scores_gemma":[0.9992072,0.0000675946,0.0001608478,0.0001444357,0.0001874189,0.0002324821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000003105647,0.001009281,0.1976248,0.00008801217,0.00001494004,0.00002021856,0.09102217,0.000002797165,0.01602308,0.3167359,0.002371024,0.3750847],"study_design_scores_gemma":[0.003256099,0.001807333,0.607717,0.00292101,0.0001283124,0.01495646,0.1023256,0.02382319,0.003512597,0.2282035,0.00963694,0.001711876],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940081,0.001198165,0.00005394245,0.003277713,0.0005903291,0.00009568844,0.000003183712,0.000007186638,0.0007657544],"genre_scores_gemma":[0.9972473,0.00003823082,0.002044641,0.00006459782,0.00002383965,0.000004325926,2.82254e-7,0.000004145266,0.0005725874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4100922,"threshold_uncertainty_score":0.8510036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.022289587903458,"score_gpt":0.3025090913267113,"score_spread":0.2802195034232533,"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."}}