{"id":"W2529105938","doi":"10.4172/plastic-surgery.1000513","title":"Groupe pour L'Avancement de la Microchirurgie Canada (GAM): 28th Annual Meeting","year":2007,"lang":"fr","type":"article","venue":"Plastic Surgery","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001307774,0.0009138619,0.0003520043,0.00126988,0.0007840743,0.001299956,0.0008566097,0.001577225,0.04725886],"category_scores_gemma":[0.001243871,0.0002353435,0.0004687801,0.0005513072,0.0004599912,0.0004214069,0.0008718395,0.001221474,0.01070207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003870266,"about_ca_system_score_gemma":0.01054415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1380624,"about_ca_topic_score_gemma":0.1754213,"domain_scores_codex":[0.9992778,0.00008407589,0.00002305181,0.00007891258,0.0003275739,0.000208586],"domain_scores_gemma":[0.997901,0.000124594,0.00009448042,0.00004065056,0.0008118707,0.001027424],"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":[0.0003607375,0.0001676152,0.01298787,0.0004491763,0.00005450868,0.000807699,0.00008372378,0.0004887136,0.004120675,0.002109007,0.7437336,0.2346367],"study_design_scores_gemma":[0.00009478067,0.0001000666,0.01841153,0.0003450049,0.00001952432,0.000950196,0.0001017878,0.0004547024,0.0005889641,0.0003616093,0.9785522,0.0000196901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05194468,0.3316452,0.0102715,0.1278634,0.06872886,0.001502275,0.008111003,0.001477379,0.3984558],"genre_scores_gemma":[0.1197196,0.1227516,0.0108103,0.009641806,0.01662766,0.0006069561,0.004755572,0.0003740921,0.7147124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1380624,"threshold_uncertainty_score":0.2745176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108613625959568,"score_gpt":0.2585216695304891,"score_spread":0.2476603069345323,"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."}}