{"id":"W6976628592","doi":"10.6084/m9.figshare.14299287","title":"Additional file 1 of Dynamic modeling and optimal control of cystic echinococcosis","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Optimal control; Cystic echinococcosis; Control (management); System dynamics; Key (lock)","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":[0.001158811,0.0008481325,0.0008088239,0.001149177,0.0003737131,0.0009032385,0.001775311,0.001408292,0.8151701],"category_scores_gemma":[0.01657815,0.0004075189,0.0007566812,0.001484719,0.0001566809,0.001417295,0.0006790629,0.0008778262,0.1204619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007666046,"about_ca_system_score_gemma":0.0009804968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014054,"about_ca_topic_score_gemma":0.01042084,"domain_scores_codex":[0.9996661,0.0001034298,0.00002889435,0.00006090716,0.00009904212,0.00004167244],"domain_scores_gemma":[0.9885056,0.009872359,0.0002338368,0.0003742568,0.0009208191,0.00009322432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001556657,0.0001121052,0.001599504,0.001313555,0.00005129685,0.0001283915,0.00004013294,0.0313616,0.0001196026,0.0118601,0.9377588,0.01549928],"study_design_scores_gemma":[0.001805677,0.000244953,0.005249513,0.001359228,0.0001469762,0.0003883215,0.0003208374,0.2389471,0.001170242,0.08778591,0.6624334,0.0001478239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001064017,0.0001378845,0.01309173,0.0007027735,0.0001307277,0.0001493462,0.9707917,0.001102153,0.01282969],"genre_scores_gemma":[0.107523,0.0009390321,0.0456161,0.001242389,0.0005416374,0.00248458,0.7766205,0.003980751,0.0610521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8151701,"threshold_uncertainty_score":0.2636374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702219765397777,"score_gpt":0.2421800985449752,"score_spread":0.2251579008909974,"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."}}