{"id":"W6996887705","doi":"","title":"This is not like a poster: o cartaz: dos átomos aos bites, do material ao imaterial","year":2020,"lang":"en","type":"dissertation","venue":"Repositório da Universidade de Lisboa (University of Lisbon)","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Realm; Vision; Element (criminal law); Digital media; Power (physics); Graphic design; Adaptation (eye); Digital era","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001563262,0.0006321778,0.001246242,0.0007367742,0.0004386105,0.0001630932,0.0005236713,0.00104477,0.002140285],"category_scores_gemma":[0.00003521609,0.0008203367,0.0008651764,0.0007347402,0.0001509363,0.0004882582,0.0002129702,0.0007809921,0.0000939799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221288,"about_ca_system_score_gemma":0.000877672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005709049,"about_ca_topic_score_gemma":0.000424888,"domain_scores_codex":[0.996939,0.0001303797,0.0004547034,0.001061601,0.0008239715,0.0005903518],"domain_scores_gemma":[0.9974201,0.00005761448,0.0007986645,0.0007164046,0.0004909658,0.0005162702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1803469,0.0005530613,0.00219941,0.00498637,0.003157117,0.008113025,0.06767233,0.000009238392,0.6602592,0.0003774872,0.06506925,0.007256658],"study_design_scores_gemma":[0.01858217,0.01353592,0.02261521,0.005026642,0.01170139,0.001670238,0.02631958,0.0007835146,0.4540043,0.00005198096,0.4416452,0.004063802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491346,0.000206497,0.00004472968,0.001201929,0.001883155,0.00103317,0.0006729027,0.0004213731,0.04540165],"genre_scores_gemma":[0.9431059,0.0002672936,0.001427345,0.0004285945,0.0007401925,0.000002217894,0.00351633,0.0001327761,0.05037938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.376576,"threshold_uncertainty_score":0.9994248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111733159551419,"score_gpt":0.2250121774476948,"score_spread":0.2138388614925529,"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."}}