{"id":"W2057409293","doi":"10.12968/sece.2014.2.2045","title":"Tea, toast and collaboration","year":2014,"lang":"en","type":"article","venue":"SecEd","topic":"Nursing Roles and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Reflection (computer programming); Joint (building); Sociology; Engineering; Computer science; Architectural engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003132847,0.0000350324,0.00005878875,0.00001772292,0.0003103434,0.00001024222,0.00002392011,0.00004718877,0.0002445491],"category_scores_gemma":[0.0001521745,0.00002920179,0.000004096404,0.00006365252,0.00001080856,0.00009427275,0.00001294561,0.0001245962,0.000144074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275032,"about_ca_system_score_gemma":0.00003121098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006226278,"about_ca_topic_score_gemma":0.0003015069,"domain_scores_codex":[0.999477,0.0001950683,0.00008951018,0.00007762628,0.00005025403,0.0001104978],"domain_scores_gemma":[0.9995328,0.0002349303,0.00005796014,0.00008450097,0.00004885102,0.00004096141],"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":[0.000506035,0.000113771,0.1126343,0.0005063473,0.00004262121,0.000001972652,0.04310345,0.00001174587,0.02872301,0.08418963,0.4646424,0.2655247],"study_design_scores_gemma":[0.0004615364,0.00007016755,0.04718619,0.00005285057,0.000009942917,4.669735e-7,0.002902717,0.0003585577,0.00007829029,0.001780896,0.9470349,0.00006349829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587084,0.00006416854,0.0002171249,0.01016469,0.0009858781,0.0001835961,0.00000354532,0.0000552534,0.1296173],"genre_scores_gemma":[0.9908562,0.00001228135,0.0004351395,0.001105104,0.0002826235,0.000008867837,0.000006316947,0.000006172032,0.007287236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4823924,"threshold_uncertainty_score":0.2677641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399701503330791,"score_gpt":0.430212907336353,"score_spread":0.4062158923030451,"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."}}