{"id":"W3213289156","doi":"10.26685/urncst.330","title":"Introducing a Novel Research Education Initiative: The URNCST Research Methods Primer","year":2021,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Undergraduate research; Medical education; Graduate education; Graduate students; Graduate research; Engineering ethics; Library science; Psychology; Engineering; Medicine; Computer science","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":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.03998851,0.0001535851,0.0002698637,0.001744359,0.001524431,0.0004629197,0.0007958353,0.0003359739,0.00002227192],"category_scores_gemma":[0.01193245,0.0001000618,0.00004148272,0.00943743,0.005318696,0.0004277432,0.0006573044,0.008457503,0.00002245705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004243056,"about_ca_system_score_gemma":0.001805302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004998467,"about_ca_topic_score_gemma":0.00004251724,"domain_scores_codex":[0.9949545,0.0009597956,0.000594846,0.0006049236,0.001615651,0.001270301],"domain_scores_gemma":[0.993578,0.003085155,0.00004313341,0.0003997921,0.002483231,0.0004107298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002884385,0.0006058796,0.004565462,0.000187444,0.00008268238,0.00005338128,0.0004028202,0.00002410561,0.04631186,0.04155455,0.01531573,0.8908672],"study_design_scores_gemma":[0.001951689,0.0008871043,0.04739181,0.001415983,0.00002712753,0.002264267,0.0138762,0.04623097,0.01304901,0.7473425,0.1247694,0.0007939636],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.661895,0.02323827,0.00128093,0.3070832,0.002670085,0.0005434438,0.000002360559,0.0001344915,0.003152239],"genre_scores_gemma":[0.9783405,0.01266106,0.007897841,0.00008342997,0.0005959191,0.00003608589,0.000001949098,0.00001666647,0.000366551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8900732,"threshold_uncertainty_score":0.9997755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440417989520683,"score_gpt":0.5184169053968651,"score_spread":0.3743751064447969,"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."}}