{"id":"W2622108267","doi":"10.5539/jel.v6n4p66","title":"Why Teach Science with an Interdisciplinary Approach: History, Trends, and Conceptual Frameworks","year":2017,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discipline; Perspective (graphical); Engineering ethics; Conceptual framework; Science education; Natural (archaeology); Sociology; Mathematics education; Psychology; Computer science; Social science; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003391622,0.00008668931,0.0001714285,0.0005435555,0.00184369,0.001302101,0.0005612641,0.00006449727,0.0001453473],"category_scores_gemma":[0.001219201,0.00005568969,0.00002556144,0.0002137488,0.001319384,0.002315138,0.0002244303,0.0008131253,0.000001825403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102861,"about_ca_system_score_gemma":0.0008299949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008839505,"about_ca_topic_score_gemma":0.00002587067,"domain_scores_codex":[0.9982488,0.0002200521,0.0003036128,0.0002504444,0.0008187938,0.0001583376],"domain_scores_gemma":[0.997767,0.000137912,0.0006507803,0.0002720847,0.0009004571,0.0002717537],"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":[0.0008456689,0.0005535046,0.05828078,0.0000101436,0.00002762425,0.00001221293,0.1092457,0.0001990841,0.001055465,0.005064326,0.04157504,0.7831304],"study_design_scores_gemma":[0.001091043,0.005082796,0.4496434,0.0001981698,0.00003405677,0.0007297412,0.3995267,0.01086335,0.00005335629,0.003989553,0.1284161,0.0003717676],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714912,0.0005021734,0.003273775,0.005906278,0.0005107909,0.00004671328,3.430841e-7,0.000004922034,0.01826387],"genre_scores_gemma":[0.9916046,0.000006309659,0.003282835,0.0001467866,0.0003343294,0.000002223862,8.848176e-7,0.000005398555,0.004616589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7827587,"threshold_uncertainty_score":0.9997346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08147796828735311,"score_gpt":0.4404936429772348,"score_spread":0.3590156746898817,"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."}}