{"id":"W2108120994","doi":"10.2134/jnrlse2007.36111x","title":"Improving a Field School Curriculum Using Modularized Lessons and Authentic Case‐Based Learning","year":2007,"lang":"en","type":"article","venue":"Journal of natural resources and life sciences education","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Curriculum; Field (mathematics); Mathematics education; Environmental education; Authentic learning; Work (physics); Pedagogy; Curriculum development; Resource (disambiguation); Sociology; Engineering ethics; Computer science; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003315726,0.0005819399,0.0003592835,0.0009209456,0.001409695,0.002460258,0.002169352,0.001067743,0.005567757],"category_scores_gemma":[0.005677254,0.0002960852,0.0004985817,0.0004779912,0.0009055915,0.002135856,0.00240947,0.001321726,0.001301495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249295,"about_ca_system_score_gemma":0.00571611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687196,"about_ca_topic_score_gemma":0.01175009,"domain_scores_codex":[0.9986656,0.0004906344,0.00008646538,0.0002420483,0.0002991384,0.0002161392],"domain_scores_gemma":[0.9957013,0.00144074,0.0004533672,0.0007872201,0.0007343391,0.0008830071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001216411,0.0144728,0.01685287,0.0008636928,0.00002049527,0.0004195236,0.01295102,0.01059788,0.01987115,0.01166951,0.01406461,0.8980947],"study_design_scores_gemma":[0.0009285876,0.01583288,0.2002782,0.004509003,0.000169343,0.004497093,0.041197,0.07832809,0.06864424,0.09303082,0.4920035,0.0005812454],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7190394,0.0004579372,0.225109,0.002670267,0.0002202321,0.004276967,0.0001216067,0.002082768,0.04602196],"genre_scores_gemma":[0.6119277,0.0005893036,0.3698436,0.0005048398,0.00003774718,0.001376506,0.0002294938,0.00007751662,0.01541339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005567757,"threshold_uncertainty_score":0.01862603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925977527735477,"score_gpt":0.3097352145151581,"score_spread":0.2804754392378034,"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."}}