{"id":"W4289783348","doi":"10.26685/urncst.398","title":"The BOLD Science Conference 2022: Abstract Book Featuring the Work of Undergraduate Science College Students","year":2022,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Multidisciplinary approach; Theme (computing); Scientific literacy; Science education; Minor (academic); Work (physics); Psychology; Mathematics education; Medical education; Engineering ethics; Sociology; Engineering; Computer science; Political science; Medicine; Social science","routes":{"ca_aff":true,"ca_fund":true,"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","bibliometrics","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.1025089,0.0002134052,0.0003987804,0.002488962,0.01605207,0.002258063,0.008714424,0.0001004406,0.00002987771],"category_scores_gemma":[0.01495797,0.0001084183,0.00007787528,0.0305585,0.04062761,0.001848917,0.007584742,0.004714387,0.00001541617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777803,"about_ca_system_score_gemma":0.005360568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002295264,"about_ca_topic_score_gemma":0.0001900531,"domain_scores_codex":[0.9825429,0.0008127433,0.001336775,0.001189864,0.01236223,0.001755492],"domain_scores_gemma":[0.9880307,0.004319629,0.0005711161,0.0009243221,0.00559655,0.0005576375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001982,0.001277837,0.1590322,0.0000209786,0.00009064886,0.0005749763,0.0006753168,0.00007704823,0.02993034,0.457083,0.03517744,0.3140782],"study_design_scores_gemma":[0.001655887,0.002381525,0.1408237,0.0001582127,0.00001111844,0.000629316,0.02043516,0.004417043,0.001983233,0.8169529,0.01016253,0.0003893598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7988938,0.002353793,0.000007250621,0.1966901,0.0006270554,0.0005044545,0.000009347577,0.00001517344,0.0008989966],"genre_scores_gemma":[0.9947181,0.00243021,0.0000540603,0.0001164948,0.00007210809,0.00003245344,2.108694e-7,0.000006503913,0.002569864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3598699,"threshold_uncertainty_score":0.9987777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142755261591652,"score_gpt":0.4961530451871436,"score_spread":0.3818775190279784,"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."}}