{"id":"W2345872285","doi":"10.1080/17480272.2016.1154606","title":"IWMS Special Issue","year":2016,"lang":"en","type":"article","venue":"Wood Material Science and Engineering","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Engineering; Environmental science","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":[0.000176407,0.00006279611,0.00006243305,0.00006714099,0.00009941714,0.0001524521,0.00007749503,0.00001992417,0.000225978],"category_scores_gemma":[0.00005528939,0.00004415264,0.000008164374,0.0001295567,0.00007725176,0.0004266576,0.00002291413,0.00001434606,0.00004114294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006260146,"about_ca_system_score_gemma":0.000007032469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000176098,"about_ca_topic_score_gemma":0.00000103719,"domain_scores_codex":[0.9993736,0.000003204795,0.00007941571,0.0001555493,0.0001727316,0.0002155585],"domain_scores_gemma":[0.9998097,0.00001318958,0.0000152631,0.00006894879,0.00002316004,0.00006967327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001692361,0.000007591376,0.00009437428,0.000007577921,7.562106e-7,8.108219e-7,0.0001905868,0.00000479004,0.9475624,0.0003918546,0.002970718,0.04875161],"study_design_scores_gemma":[0.0003817675,0.0001366199,0.01085954,0.0001204348,0.000008024983,0.000008061304,0.00004633186,0.00007538982,0.8725827,0.0002614689,0.1153223,0.000197352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990536,0.000007515779,0.00005247198,0.001410649,0.006673538,0.0000606787,0.000003111441,0.00006472463,0.001191293],"genre_scores_gemma":[0.9967144,0.000005936782,0.0003863446,0.00007210257,0.002763904,0.00000452875,4.424306e-7,0.000006857901,0.00004551617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1123516,"threshold_uncertainty_score":0.24743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005320291394898319,"score_gpt":0.2327841629752076,"score_spread":0.2274638715803093,"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."}}