{"id":"W2597071816","doi":"10.1007/s40037-017-0331-7","title":"Introducing a&amp;nbsp;qualitative space","year":2017,"lang":"en","type":"editorial","venue":"Perspectives on Medical Education","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Space (punctuation); Computer science; Medical education; Medicine; Data science; Psychology","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":[0.06124463,0.001918462,0.002805262,0.007044041,0.006814047,0.01747803,0.004864773,0.01838956,0.02180645],"category_scores_gemma":[0.21922,0.00146815,0.002740525,0.003278033,0.01023819,0.009173601,0.007222824,0.02910422,0.01059844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0082132,"about_ca_system_score_gemma":0.01774675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005733388,"about_ca_topic_score_gemma":0.01851215,"domain_scores_codex":[0.9571346,0.01745774,0.005189636,0.002035408,0.01693255,0.001250155],"domain_scores_gemma":[0.6828058,0.1940844,0.007884148,0.009422611,0.08877677,0.01702614],"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":[0.00001095673,0.000005229562,0.00001580407,0.0003532334,0.000008356673,0.00005215484,0.0001185641,0.00001059182,0.00003347811,0.001627859,0.9910806,0.006683161],"study_design_scores_gemma":[0.00003000739,0.000008348296,0.00009269383,0.001187066,0.00002701076,0.00009849232,0.0002706443,0.00009948941,0.00007100586,0.00418565,0.9939109,0.00001864727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002604202,0.002546937,0.001110206,0.1419954,0.8524434,0.00005868884,0.00005899225,0.00008676908,0.001673544],"genre_scores_gemma":[0.001114371,0.005235753,0.002049651,0.0746912,0.8949766,0.0003765983,0.00005725014,0.0003105277,0.02118808],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06124463,"threshold_uncertainty_score":0.3238965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270461349354628,"score_gpt":0.4586687036603826,"score_spread":0.4359640901668363,"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."}}