{"id":"W6893628525","doi":"10.5281/zenodo.3472158","title":"Enhancing applied, interdisciplinary learning with online, interactive case history modules that bridge undergraduate geoscience courses","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bridge (graph theory); Context (archaeology); Discipline; Narrative; Engineering education","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002821806,0.0002374847,0.0002701905,0.0006463271,0.002518286,0.001493494,0.001521926,0.00006604905,0.00147917],"category_scores_gemma":[0.001550864,0.0001934311,0.00006223303,0.001144664,0.0005455278,0.001280338,0.003289301,0.0006092176,0.003168465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008878347,"about_ca_system_score_gemma":0.00005860126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003598298,"about_ca_topic_score_gemma":0.00006102981,"domain_scores_codex":[0.9955776,0.0007961648,0.0004428217,0.000879616,0.001736823,0.0005669767],"domain_scores_gemma":[0.9961899,0.0001975865,0.0003227602,0.0006467533,0.002174863,0.0004681408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004034709,0.001352242,0.0001842783,0.00008803554,0.0002016943,0.003373119,0.06128423,0.005888487,0.009212188,0.01086645,0.54875,0.3547645],"study_design_scores_gemma":[0.001989819,0.002967136,0.001965998,0.000156646,0.00003723252,0.005906919,0.1120484,0.01849714,0.001397235,0.004967497,0.849184,0.0008819708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6983189,0.0002154582,0.1262417,0.004238669,0.0006136154,0.001108882,0.0002424039,0.001022846,0.1679976],"genre_scores_gemma":[0.9934605,0.000008556607,0.0006537539,0.00007539613,0.0001688182,2.54419e-7,0.0003370305,0.0004312697,0.004864465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3538826,"threshold_uncertainty_score":0.9995431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240647521398468,"score_gpt":0.3509383186805599,"score_spread":0.226873566540713,"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."}}