{"id":"W4394212670","doi":"10.6084/m9.figshare.14269614","title":"How to translate scientific knowledge into practice? Concepts, models and application","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Scientific modelling; Sociology of scientific knowledge; Management science; Epistemology; Engineering; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03439109,0.0007776305,0.0009405875,0.008284888,0.0009536712,0.004956149,0.002656504,0.001492685,0.02152655],"category_scores_gemma":[0.171311,0.0004628554,0.001368594,0.01790293,0.001257475,0.003410611,0.003445367,0.002119188,0.005844846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00875208,"about_ca_system_score_gemma":0.009259317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0308642,"about_ca_topic_score_gemma":0.04184005,"domain_scores_codex":[0.9745453,0.0171021,0.003514142,0.001565951,0.00283534,0.0004370827],"domain_scores_gemma":[0.8491889,0.1219459,0.005733227,0.01241543,0.009806903,0.0009096048],"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":[0.0004079207,0.000220378,0.02752752,0.02456284,0.0006702737,0.0001262005,0.002708496,0.01396627,0.0001787764,0.1417377,0.6201217,0.1677719],"study_design_scores_gemma":[0.0005458448,0.00007429867,0.0186733,0.01761015,0.000271849,0.00009491641,0.002765202,0.01095504,0.000454477,0.09167714,0.8567547,0.0001232338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007251591,0.002653811,0.02560695,0.01001049,0.0001792638,0.001329598,0.9265562,0.001190166,0.02522206],"genre_scores_gemma":[0.07667362,0.004159302,0.1467941,0.00135412,0.00006831941,0.01161089,0.7564868,0.0005070238,0.002345892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03439109,"threshold_uncertainty_score":0.1818796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2845236997664,"score_gpt":0.5327063468984754,"score_spread":0.2481826471320754,"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."}}