{"id":"W152276630","doi":"10.15173/m.v1i14.731","title":"The Kanzius Machine","year":2012,"lang":"en","type":"article","venue":"The Meducator","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Population health; Peer review; Medicine; Environmental health; Political science; Population; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007013913,0.0004724431,0.0004791899,0.001241422,0.00194784,0.002910455,0.0009933477,0.001570637,0.02804171],"category_scores_gemma":[0.004907953,0.0003962054,0.0006240719,0.0008016404,0.004255825,0.005853411,0.00366792,0.001727311,0.01162224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008414219,"about_ca_system_score_gemma":0.001044203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341819,"about_ca_topic_score_gemma":0.001103066,"domain_scores_codex":[0.9990695,0.000248602,0.00004445732,0.0002689144,0.0002621477,0.0001063977],"domain_scores_gemma":[0.9991555,0.0002900923,0.00003624351,0.0003228883,0.0001298326,0.00006551926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005835952,0.000009239209,0.0002058862,0.00007194155,0.000009904229,0.00004480558,0.0003223751,0.001573449,0.000880714,0.8787262,0.02014419,0.09795294],"study_design_scores_gemma":[0.0000204687,0.00002489624,0.0001842964,0.00009104262,0.00001412365,0.0001667771,0.0001227599,0.01244687,0.002166991,0.7200534,0.2646798,0.00002857024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01761917,0.00461999,0.5767706,0.008683283,0.002277271,0.0001184501,0.0007471375,0.006559526,0.3826045],"genre_scores_gemma":[0.5301611,0.003113549,0.233646,0.002339542,0.001109581,0.0003878773,0.001201177,0.001878825,0.2261623],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02804171,"threshold_uncertainty_score":0.09380889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032982732520051,"score_gpt":0.2269356206546841,"score_spread":0.2066057933294836,"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."}}