{"id":"W1725240753","doi":"10.25011/cim.v30i4.2835","title":"74. Remediation plans: Effectively matching trainee needs to remediation planss","year":2007,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental remediation; Plan (archaeology); Remedial education; Process (computing); Intervention (counseling); Process management; Medical education; Engineering management; Engineering; Computer science; Psychology; Medicine; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008714218,0.0003907945,0.0002695403,0.003343593,0.001872666,0.00218051,0.001166193,0.0005428678,0.008378115],"category_scores_gemma":[0.04140075,0.0003703239,0.0003624261,0.001191713,0.0008114533,0.002454034,0.002960197,0.000799696,0.002261264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003516379,"about_ca_system_score_gemma":0.009263347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007316718,"about_ca_topic_score_gemma":0.01139951,"domain_scores_codex":[0.9949462,0.002308869,0.0004525074,0.000408051,0.001438564,0.0004458979],"domain_scores_gemma":[0.9890335,0.003612291,0.002464574,0.0009274933,0.002584426,0.001377718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001456026,0.0012994,0.07164631,0.0004710931,0.0000208902,0.0003017281,0.01114442,0.002933144,0.001857807,0.00382943,0.03323457,0.8731155],"study_design_scores_gemma":[0.0004853891,0.004685845,0.5938555,0.001820019,0.0001851118,0.001364403,0.07862705,0.03498525,0.01811963,0.01689924,0.2484205,0.0005521325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7997327,0.0004424756,0.07560684,0.01169578,0.0002581319,0.01013786,0.002169567,0.006012029,0.09394449],"genre_scores_gemma":[0.835654,0.0004363271,0.1443528,0.0007612383,0.00004734163,0.004222799,0.00118113,0.0001524756,0.01319189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008714218,"threshold_uncertainty_score":0.04608572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1639994552949082,"score_gpt":0.4015392805445589,"score_spread":0.2375398252496507,"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."}}