{"id":"W3128379724","doi":"10.26443/mjm.v12i2.283","title":"27th annual Montreal Regional Science and Technology Fair (MRSTF) Abstracts","year":2020,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Library science; Political science; Public relations; Medicine; Media studies; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.009619829,0.0001375098,0.0004527597,0.001091576,0.0004456708,0.00005817123,0.0019894,0.00009162337,0.0001092035],"category_scores_gemma":[0.02208728,0.00007632336,0.00004447318,0.003580978,0.003387476,0.0009549938,0.0002567174,0.0007634454,0.00003578823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005894292,"about_ca_system_score_gemma":0.000375263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003175988,"about_ca_topic_score_gemma":0.000007734457,"domain_scores_codex":[0.9926049,0.00007846332,0.001000762,0.000431193,0.005443783,0.0004409463],"domain_scores_gemma":[0.9952961,0.0006631078,0.0006231571,0.0002286643,0.002328912,0.0008600996],"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":[0.0003017887,0.00007536304,0.006042168,0.00001355239,0.00002716717,0.0009429694,0.002162896,0.0001260101,0.06774924,0.005281896,0.5244035,0.3928734],"study_design_scores_gemma":[0.003553912,0.002694373,0.09021474,0.0001921696,0.00002885104,0.002232056,0.01404838,0.001221634,0.003569389,0.03817252,0.843778,0.0002939448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4647003,0.001187809,0.0001716293,0.5214167,0.0004578553,0.0001366316,0.00001679696,0.00002660612,0.01188571],"genre_scores_gemma":[0.9925628,0.000309513,0.0004406106,0.005952944,0.0004968778,5.541367e-7,1.332097e-7,0.000005513156,0.0002310753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5278625,"threshold_uncertainty_score":0.9993247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1430437045049097,"score_gpt":0.4122733949213458,"score_spread":0.2692296904164361,"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."}}