{"id":"W2106891397","doi":"10.1002/ccd.21532","title":"Robot or not robot!","year":2008,"lang":"en","type":"letter","venue":"Catheterization and Cardiovascular Interventions","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Library science; Citation; Medicine; Art history; Artificial intelligence; History; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002371843,0.0004044162,0.00101103,0.0003028966,0.0002046553,0.00008047493,0.0001582316,0.000654406,0.0002679746],"category_scores_gemma":[0.0001494046,0.0003050272,0.004380836,0.0002318622,0.0002098688,0.00009939112,0.0001300365,0.0008239057,0.00009884313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004882001,"about_ca_system_score_gemma":0.00007981917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001620827,"about_ca_topic_score_gemma":0.000001188042,"domain_scores_codex":[0.9977112,0.0002353399,0.000535561,0.000661696,0.0005264274,0.0003298059],"domain_scores_gemma":[0.9985774,0.00002960368,0.0001286846,0.000963057,0.0001986414,0.0001026564],"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":[0.0002713559,0.0004549441,0.0003033759,0.007337113,0.0176756,0.01028044,0.0006444259,0.0002811679,0.001660587,0.00004277715,0.8884361,0.07261206],"study_design_scores_gemma":[0.00147274,0.0004346096,0.004366545,0.001383222,0.002980741,0.005499387,0.00005143382,0.00005692795,0.0005560995,0.00001402652,0.9826351,0.0005491666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01194475,0.06764092,0.5252365,0.3724845,0.005377331,0.007253561,0.0007778665,0.002195807,0.00708876],"genre_scores_gemma":[0.0743125,0.06383145,0.009657311,0.6565124,0.0134594,0.00171606,0.01449748,0.0008841495,0.1651293],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5155792,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311660612485255,"score_gpt":0.3112518398208817,"score_spread":0.1800857785723563,"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."}}