{"id":"W4398298119","doi":"10.7910/dvn/m07hq7","title":"Interdisciplinary undergraduate and graduate student data","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Red River College","funders":"","keywords":"Graduate students; Mathematics education; Undergraduate student; Computer science; Medical education; Psychology; Pedagogy; Medicine","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":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.002920751,0.0005329908,0.0007850564,0.0005236499,0.0005617759,0.001977619,0.006891755,0.000235289,0.003705889],"category_scores_gemma":[0.001778807,0.0004132572,0.0001111636,0.001031841,0.0003816002,0.00175765,0.03560034,0.0009791806,0.1966462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018074,"about_ca_system_score_gemma":0.0004248469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004197382,"about_ca_topic_score_gemma":0.001345951,"domain_scores_codex":[0.9919068,0.0006903698,0.001115416,0.002175607,0.003531184,0.0005806625],"domain_scores_gemma":[0.992165,0.0007019733,0.0005281125,0.005569557,0.0004524824,0.0005829324],"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":[0.0002491884,0.0001133741,0.00001160407,0.00004410613,0.0001181733,0.0005301978,0.0002120246,0.000003086006,0.0000048983,0.00006292808,0.9970227,0.001627668],"study_design_scores_gemma":[0.0004988179,0.0003290984,0.0002374402,0.00007392679,0.0001025905,0.00004065223,0.003637543,0.0007998794,0.000003370007,0.003257035,0.9905813,0.0004383738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001112771,0.000004678883,0.0002099891,0.001546068,0.001125892,0.0005840705,0.995956,0.00004843587,0.0004135916],"genre_scores_gemma":[0.0007035824,0.0002983886,0.0001675168,0.0003844117,0.0006517303,0.00003038033,0.9965881,0.00002882179,0.001147058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1929403,"threshold_uncertainty_score":0.9998319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1956258401653661,"score_gpt":0.4483764456818532,"score_spread":0.2527506055164871,"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."}}