{"id":"W6920362924","doi":"10.6084/m9.figshare.11330102.v2","title":"Additional file 1 of Action, actor, context, target, time (AACTT): a framework for specifying behaviour","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Blank; Data file; Key (lock); Component (thermodynamics); Term (time)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002171726,0.001947898,0.0009833659,0.001766701,0.001004598,0.002245303,0.002770296,0.001733974,0.8246438],"category_scores_gemma":[0.01589533,0.00130382,0.001326581,0.001947921,0.0005655204,0.003271569,0.00187216,0.001603992,0.3081847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600573,"about_ca_system_score_gemma":0.001880088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006945094,"about_ca_topic_score_gemma":0.007917357,"domain_scores_codex":[0.9988509,0.0002860941,0.0001386465,0.0002214742,0.0003755709,0.0001273409],"domain_scores_gemma":[0.9885249,0.008352061,0.0004533714,0.001003092,0.001404663,0.0002620483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002841825,0.00006280316,0.0007630341,0.0013235,0.00002248539,0.0001544505,0.000128455,0.00193283,0.0005541839,0.0113377,0.9673933,0.01604295],"study_design_scores_gemma":[0.0005190306,0.00006313885,0.001201659,0.0005191028,0.00003436229,0.0002649286,0.0001306806,0.004693381,0.002390236,0.02114515,0.9689674,0.00007093187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004210906,0.00005692478,0.0392272,0.0003895205,0.0001685691,0.0004370545,0.923563,0.01673553,0.01900113],"genre_scores_gemma":[0.01495153,0.0002565122,0.05225327,0.0006896164,0.0001914778,0.002514044,0.8424596,0.02238306,0.0643009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8246438,"threshold_uncertainty_score":0.2501243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310748741035547,"score_gpt":0.3205665451649839,"score_spread":0.1894916710614292,"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."}}