{"id":"W3128327914","doi":"10.1162/dint_a_00086","title":"Implementation of an Open Science Instruction Program for Undergraduates","year":2021,"lang":"en","type":"article","venue":"Data Intelligence","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Transparency (behavior); Curriculum; Context (archaeology); Best practice; Political science; Undergraduate research; Subject (documents); Medical education; Public relations; Engineering ethics; Pedagogy; Engineering; Library science; Sociology; Computer science; Medicine; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.00800633,0.00007853307,0.0001434633,0.0002031577,0.0003043875,0.001796128,0.007762128,0.00001551574,0.0001822561],"category_scores_gemma":[0.002926831,0.00006535561,0.00001951796,0.002180117,0.0002923254,0.002709247,0.004877346,0.00003913296,0.00003023475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002669313,"about_ca_system_score_gemma":0.0003751633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003642582,"about_ca_topic_score_gemma":0.0008492616,"domain_scores_codex":[0.9968271,0.00007595629,0.0006004564,0.00121624,0.001055495,0.0002247959],"domain_scores_gemma":[0.9953358,0.0003121794,0.0002644254,0.003165444,0.0008366208,0.00008559757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006586048,0.00008754764,0.0004699044,0.00000494292,0.000004159124,7.377477e-7,0.0001085229,0.00008088726,0.0005524742,0.0133612,0.003356514,0.9819666],"study_design_scores_gemma":[0.0005341182,0.0006954909,0.01448792,0.00005261578,0.00004564849,0.00002851885,0.03813607,0.2675488,0.2381046,0.2196857,0.2201939,0.0004866743],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3737818,0.00005269259,0.6177576,0.001324053,0.002642539,0.001672,0.00148604,0.00008744765,0.001195864],"genre_scores_gemma":[0.8259382,0.000009141147,0.172618,0.00007262376,0.00004421727,0.00002947855,0.001094454,0.000005420278,0.0001885102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9814798,"threshold_uncertainty_score":0.9992401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4297001939532424,"score_gpt":0.566531096562857,"score_spread":0.1368309026096147,"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."}}