{"id":"W1054687","doi":"","title":"D6.2.1 – AEROMACS PROFILE RECOMMENDATION DOCUMENT","year":2011,"lang":"en","type":"article","venue":"Dental journal","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information retrieval; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003092584,0.00009301816,0.00008685836,0.0001024293,0.00009264316,0.00004687007,0.0001051011,0.00005326049,0.004602064],"category_scores_gemma":[0.00002330537,0.00008729474,0.00005505329,0.00006778646,0.00001452529,0.0003108119,0.00002260869,0.0002564236,0.0003531262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132104,"about_ca_system_score_gemma":0.000007053264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002416245,"about_ca_topic_score_gemma":0.000001502904,"domain_scores_codex":[0.9993734,0.00006304168,0.0002085299,0.00006720898,0.0001055795,0.0001822253],"domain_scores_gemma":[0.9997697,0.00002016557,0.0000460259,0.00006942779,0.00002694958,0.0000677174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003123236,0.0001891781,0.01881718,0.0001786993,0.0007843119,0.0007979143,0.009220794,0.001970059,0.2692247,0.001739058,0.06535214,0.6314136],"study_design_scores_gemma":[0.0008050151,0.0002122484,0.02438324,0.0000360119,0.00003331581,0.002641591,0.001486325,0.001198039,0.9468937,0.004728374,0.01713339,0.0004487392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191384,0.0001188829,0.04092785,0.00002640692,0.004868172,0.0001307813,0.000006155738,0.0003978054,0.03438551],"genre_scores_gemma":[0.6593614,0.0001757092,0.339536,0.0001031461,0.000419264,0.00001820379,0.000009352473,0.00004349692,0.0003334908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.677669,"threshold_uncertainty_score":0.9963078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04770744223136518,"score_gpt":0.2553548130467279,"score_spread":0.2076473708153627,"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."}}