{"id":"W7018023691","doi":"","title":"Capturing Global Features of Crystals from Their Bond Networks","year":2025,"lang":"en","type":"article","venue":"VU Research Portal","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Topology (electrical circuits); Artificial neural network; Property (philosophy); Representation (politics); Graph; Crystal (programming language); Quotient; ENCODE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002312404,0.0004552044,0.0003706089,0.001492127,0.0001995671,0.0005424925,0.0004559485,0.0004052254,0.001793766],"category_scores_gemma":[0.001091819,0.0001591255,0.0004196783,0.001434088,0.0004331405,0.001025987,0.00042255,0.0004891605,0.0005217258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005547072,"about_ca_system_score_gemma":0.0003706902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004373989,"about_ca_topic_score_gemma":0.009959661,"domain_scores_codex":[0.9998907,0.00002273902,0.000005438973,0.00003447889,0.00003570776,0.00001081353],"domain_scores_gemma":[0.9996405,0.0001238489,0.00008002164,0.00006038277,0.00007553687,0.00001968048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003759722,0.00020958,0.07771464,0.0007341341,0.0001690912,0.0002522118,0.0002280045,0.4969834,0.0623612,0.0362425,0.01173196,0.3129973],"study_design_scores_gemma":[0.000009789646,0.00003983048,0.006834272,0.000018127,0.00001862597,0.00004638672,0.00006609073,0.9618661,0.006830311,0.02056695,0.003690443,0.00001301699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7014748,0.001190679,0.2786666,0.0003915722,0.00005058086,0.00009285942,0.006902026,0.002665513,0.008565423],"genre_scores_gemma":[0.9490486,0.0003749359,0.04369532,0.00003850901,0.00001726263,0.00006085586,0.005433761,0.0001089864,0.001221756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004373989,"threshold_uncertainty_score":0.008697093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715400630530109,"score_gpt":0.3520052542891006,"score_spread":0.3248512479837996,"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."}}