{"id":"W4249202305","doi":"10.1208/s12248-018-0273-y","title":"The Journey to AAPS 2020: a Reflection from Strategic Planning to PharmSci 360","year":2018,"lang":"en","type":"editorial","venue":"The AAPS Journal","topic":"Educational Leadership and Innovation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reflection (computer programming); Medicine; Medical physics; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02908504,0.003296011,0.002844043,0.004433386,0.006259453,0.02443343,0.003980449,0.03901445,0.008360806],"category_scores_gemma":[0.08607948,0.00128114,0.003006222,0.003458902,0.006812976,0.01030113,0.004661962,0.05705355,0.005262492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008303903,"about_ca_system_score_gemma":0.0223051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005579428,"about_ca_topic_score_gemma":0.01332923,"domain_scores_codex":[0.9812723,0.003668992,0.002153843,0.001420959,0.009830528,0.001653452],"domain_scores_gemma":[0.8994416,0.05211711,0.003712794,0.001716897,0.02537348,0.01763809],"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":[0.00001356641,0.000014496,0.00003055007,0.0001734563,0.0000100202,0.0001283896,0.0001037387,0.00002858469,0.00002117264,0.0009668221,0.993744,0.004765148],"study_design_scores_gemma":[0.00002716264,0.000022239,0.0001825978,0.0008218233,0.0000202756,0.0001377637,0.0003727239,0.00008068052,0.00004865562,0.002083755,0.9961766,0.00002568808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003621321,0.004694504,0.00008864005,0.1419722,0.8522042,0.00001095504,0.00002265739,0.0000204488,0.0009501589],"genre_scores_gemma":[0.001290081,0.009655552,0.0002092271,0.0610043,0.922595,0.00003294555,0.0000265573,0.00004782927,0.005138518],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03901445,"threshold_uncertainty_score":0.1538182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14422624943347,"score_gpt":0.4468635017053277,"score_spread":0.3026372522718577,"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."}}