{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004046676,0.001180831,0.001190708,0.00389774,0.001103604,0.001982445,0.00262967,0.001693196,0.1050735],"category_scores_gemma":[0.02353007,0.0007122043,0.0009236957,0.006648947,0.0004467171,0.001245427,0.002428232,0.002035785,0.1055226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808546,"about_ca_system_score_gemma":0.004542259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292899,"about_ca_topic_score_gemma":0.0304645,"domain_scores_codex":[0.9962164,0.0006910562,0.0005226187,0.0008718806,0.001231761,0.0004663384],"domain_scores_gemma":[0.9864753,0.003775418,0.001212294,0.002297313,0.005222095,0.001017589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001134192,0.00007049839,0.003613199,0.0003390139,0.00002053672,0.000016407,0.00007637675,0.0001973469,0.00008466635,0.0005718604,0.9904733,0.004423328],"study_design_scores_gemma":[0.0004017316,0.00005981318,0.01891828,0.0004727703,0.00003692138,0.00005321097,0.0004279478,0.0004379539,0.0005295828,0.001105757,0.9775066,0.00004948237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002677475,0.00001008915,0.00008140862,0.00004795484,0.00001409199,0.00003546521,0.9988025,0.00007576403,0.0006648834],"genre_scores_gemma":[0.0009500742,0.00001981455,0.0004701666,0.00006116575,0.000007638484,0.0006293774,0.9960407,0.00006655911,0.001754503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1050735,"threshold_uncertainty_score":0.3515058,"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."}}