{"id":"W2516437458","doi":"10.7748/ns.14.34.24.s36","title":"The Christine Hancock column","year":2000,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Column (typography); Popularity; Computer science; Psychology; Telecommunications; 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":[0.002303364,0.0007080636,0.0005656123,0.0007564533,0.007308294,0.007719896,0.001144894,0.00962079,0.1255755],"category_scores_gemma":[0.01665621,0.0006971867,0.0006070122,0.0006205383,0.002513489,0.004441077,0.002883991,0.01718916,0.05118901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002576597,"about_ca_system_score_gemma":0.007849455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02639488,"about_ca_topic_score_gemma":0.07073186,"domain_scores_codex":[0.997394,0.0004773328,0.00008055908,0.0003455929,0.001363731,0.0003387349],"domain_scores_gemma":[0.9925382,0.001463311,0.0003398077,0.000256256,0.002542867,0.002859673],"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":[0.000003610757,0.00000283895,0.00003388017,0.000007319516,8.033042e-7,0.00001127741,0.00002063955,0.000001672564,0.000007864041,0.0002923308,0.9981557,0.001462093],"study_design_scores_gemma":[0.000004770031,0.000007179339,0.0002872258,0.00008882375,0.00000191909,0.00004496387,0.0002766125,0.00001072521,0.00004811963,0.0003153755,0.9989067,0.00000763383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003052932,0.006448383,0.0001511487,0.8198759,0.1220576,0.00002461986,0.0001682163,0.0001462839,0.05082249],"genre_scores_gemma":[0.003274347,0.004335427,0.0001868865,0.5432591,0.02629683,0.00004076492,0.0001294816,0.0001630903,0.4223141],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1255755,"threshold_uncertainty_score":0.4200919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04846086972038084,"score_gpt":0.516883910318264,"score_spread":0.4684230405978831,"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."}}