{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003043085,0.00006350494,0.00005124394,0.000006475157,0.0007647612,0.00006304221,0.0002775054,0.00002242119,0.001105422],"category_scores_gemma":[0.00002920497,0.00002754091,0.00005286689,0.00001719091,0.0005478154,0.0000298501,0.00005817408,0.0001561566,0.0003932293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001340554,"about_ca_system_score_gemma":0.00001334711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001074133,"about_ca_topic_score_gemma":0.0001378656,"domain_scores_codex":[0.9995402,0.00002270085,0.00007764639,0.00004792053,0.00008039374,0.000231204],"domain_scores_gemma":[0.9994837,0.0001384842,0.00003261961,0.0002921823,0.00001883009,0.00003418472],"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":[0.000001257114,0.0000326898,0.0004926673,0.000001076133,0.00002471734,5.441409e-8,0.02778683,1.082444e-8,0.00001186469,0.8937432,0.07316583,0.004739766],"study_design_scores_gemma":[0.00003887659,0.000007624609,0.0005316183,0.000001302914,0.0000159596,0.000002682687,0.007261827,0.000002887388,0.0001148072,0.006612332,0.9853625,0.00004760734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7323228,0.01229748,0.000002297126,0.03221363,0.004966108,0.0001909391,0.00001302808,0.0001375387,0.2178562],"genre_scores_gemma":[0.9721396,0.00009840877,0.00001235792,0.0006213049,0.001183667,0.00002498472,0.000001358128,0.00000968336,0.02590862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9121966,"threshold_uncertainty_score":0.9998077,"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."}}