{"id":"W7070845032","doi":"","title":"Quebec at the Heart of the Largest Anomaly Ever Recorded: What It Means for the World","year":2025,"lang":"en","type":"other","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Anomaly (physics); Government (linguistics); Field (mathematics); Measure (data warehouse)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006730712,0.0004456794,0.0004140102,0.002108239,0.002290468,0.001926582,0.001115762,0.00116856,0.04551021],"category_scores_gemma":[0.002745308,0.0001234139,0.000362926,0.005485899,0.00124171,0.001107016,0.000672697,0.001460203,0.004399519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0206746,"about_ca_system_score_gemma":0.03250382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9696985,"about_ca_topic_score_gemma":0.9823033,"domain_scores_codex":[0.9994382,0.00004426984,0.00002684661,0.00006898928,0.0001968959,0.0002247396],"domain_scores_gemma":[0.9973852,0.0001655857,0.0002648963,0.00007374278,0.001346121,0.0007643505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000220891,0.00006521181,0.1342865,0.0002918607,0.00005063206,0.001221636,0.0004341387,0.0003586263,0.0005508182,0.01513967,0.6207791,0.2266009],"study_design_scores_gemma":[0.00004657961,0.00003861004,0.1711546,0.001447131,0.00009095595,0.00208517,0.002271938,0.0006595509,0.0005934059,0.004087174,0.8174307,0.00009420923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09774429,0.05762956,0.003427591,0.2246581,0.004340813,0.0001667642,0.0848919,0.001119427,0.5260215],"genre_scores_gemma":[0.4757676,0.06290618,0.009109262,0.03401583,0.002124178,0.0001719223,0.03195371,0.001135841,0.3828154],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04551021,"threshold_uncertainty_score":0.1522468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311427771234667,"score_gpt":0.2730124673438571,"score_spread":0.2598981896315104,"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."}}