{"id":"W2993372503","doi":"10.22329/jtl.v11i2.4932","title":"Visualizing Cancer: A Transdisciplinary Art and Biology Collaborative","year":2018,"lang":"en","type":"article","venue":"Journal of Teaching and Learning","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eastern Michigan University","keywords":"Curriculum; Class (philosophy); Mathematics education; Computer science; Sociology; Pedagogy; Psychology; 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":[],"consensus_categories":[],"category_scores_codex":[0.006981743,0.00009046413,0.0002494424,0.0003231176,0.001070339,0.0002929275,0.0001686376,0.00005655119,0.0000744916],"category_scores_gemma":[0.001812106,0.0000596439,0.00004022897,0.0003218052,0.0002058595,0.0004615123,0.00009899718,0.0008521554,0.000008722365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002584507,"about_ca_system_score_gemma":0.0001298323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005841146,"about_ca_topic_score_gemma":0.00005859528,"domain_scores_codex":[0.9974906,0.001353487,0.0004387489,0.0001851385,0.0003509969,0.0001809934],"domain_scores_gemma":[0.9980418,0.0007921203,0.000355589,0.00006983857,0.0006092529,0.0001314102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002142355,0.0001515431,0.07173594,0.00003240665,0.0002290454,0.00006995993,0.2505512,0.000276511,0.09798872,0.004675875,0.02031413,0.5518324],"study_design_scores_gemma":[0.004183529,0.02031932,0.04142303,0.0009597045,0.0001247733,0.0008961294,0.3915523,0.03290438,0.002152476,0.03503053,0.4695826,0.0008711854],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848717,0.001073341,0.004785263,0.004640018,0.0002303776,0.00004900697,0.000002534456,0.000007817898,0.004339938],"genre_scores_gemma":[0.9956058,0.00007552085,0.001703067,0.00007276247,0.000563147,0.000001487015,5.212739e-7,0.000006238389,0.001971422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5509611,"threshold_uncertainty_score":0.8232292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08802214121344168,"score_gpt":0.4904831626169975,"score_spread":0.4024610214035559,"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."}}