{"id":"W2799591103","doi":"10.1177/1053451218767916","title":"A Relaxation Station in Every Location","year":2018,"lang":"en","type":"article","venue":"Intervention in School and Clinic","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto; Memorial University of Newfoundland","funders":"","keywords":"Relaxation (psychology); Space (punctuation); Psychology; Physical space; Component (thermodynamics); Mathematics education; Multimedia; Element (criminal law); Human–computer interaction; Pedagogy; Computer science; Social 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":[0.00171502,0.0005776434,0.0007286272,0.0004762693,0.004150424,0.002364984,0.001862938,0.001876378,0.03715064],"category_scores_gemma":[0.003027666,0.0006354903,0.001004585,0.0002666563,0.00159663,0.002572588,0.007049482,0.004237422,0.01164782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007001844,"about_ca_system_score_gemma":0.003855897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009633051,"about_ca_topic_score_gemma":0.00348025,"domain_scores_codex":[0.9980586,0.0007179783,0.00008376648,0.000348741,0.0002318001,0.0005591048],"domain_scores_gemma":[0.9965706,0.0001538375,0.0001912994,0.0002484828,0.0001996358,0.002636281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009347855,0.01774478,0.02316908,0.001760632,0.0001509585,0.003792688,0.03566075,0.001376019,0.03817589,0.01542966,0.09539284,0.7664119],"study_design_scores_gemma":[0.001361655,0.01900798,0.09922101,0.00261273,0.0003320555,0.007334268,0.1225602,0.001736932,0.01747833,0.01343284,0.7142779,0.0006440601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6926544,0.001004198,0.0878874,0.0251495,0.003227496,0.003123869,0.0005920257,0.006116804,0.1802443],"genre_scores_gemma":[0.7550691,0.001104921,0.1510664,0.005944495,0.0002707056,0.001880395,0.0004770467,0.0004019197,0.08378512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03715064,"threshold_uncertainty_score":0.1242813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03979823802568254,"score_gpt":0.4190221669382758,"score_spread":0.3792239289125933,"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."}}