{"id":"W237909744","doi":"10.1142/7642","title":"Understanding Soft Condensed Matter via Modeling and Computation","year":2010,"lang":"en","type":"book","venue":"Series in sof condensed matter","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Soft matter; Computation; Computer science; Biological system; Statistical physics; Physics; Chemistry; Algorithm; Biology; Physical chemistry","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":[0.0002570866,0.0007777647,0.000564721,0.0004454878,0.0004735247,0.001747045,0.0008102151,0.001000417,0.004028891],"category_scores_gemma":[0.001115354,0.000415197,0.0006987493,0.0006592001,0.0009917808,0.002713571,0.001096101,0.001674426,0.00110759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706534,"about_ca_system_score_gemma":0.0006990536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002073332,"about_ca_topic_score_gemma":0.002020231,"domain_scores_codex":[0.9998394,0.00004098353,0.000006590323,0.00002547039,0.00007511187,0.00001249286],"domain_scores_gemma":[0.9997568,0.0001625905,0.00001091113,0.00003944011,0.00001763032,0.00001262786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002220036,0.00003553588,0.0003189506,0.0004063117,0.00005734267,0.00006860396,0.0001445935,0.291676,0.002350503,0.6159592,0.01375249,0.07520821],"study_design_scores_gemma":[0.00000675825,0.000007463733,0.00009866359,0.00003847231,0.000007797072,0.00002977228,0.00001509896,0.5745286,0.0008112433,0.3928002,0.03164644,0.000009583898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0249621,0.02485192,0.8479149,0.008035598,0.0008479742,0.0001447906,0.0009348065,0.002308119,0.08999977],"genre_scores_gemma":[0.4316601,0.05960928,0.4557927,0.0009498011,0.001225419,0.0006947727,0.001993006,0.000793872,0.04728094],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004028891,"threshold_uncertainty_score":0.01347798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457523205244818,"score_gpt":0.2641583465324028,"score_spread":0.2295831144799546,"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."}}