{"id":"W2952419930","doi":"10.1002/chin.200405239","title":"Spline‐Fitting with a Genetic Algorithm: A Method for Developing Classification Structure—Activity Relationships.","year":2004,"lang":"en","type":"article","venue":"ChemInform","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Citation; Library science; Information retrieval; Algorithm; Operations research; Computer science; Mathematics; History; Archaeology","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":[0.006449541,0.002451594,0.002140018,0.004353597,0.0009549978,0.001406635,0.00233197,0.002201676,0.00518133],"category_scores_gemma":[0.01419919,0.001412994,0.002827731,0.003112282,0.001133297,0.001159639,0.001870957,0.003203791,0.002101807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077998,"about_ca_system_score_gemma":0.00246936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051999,"about_ca_topic_score_gemma":0.009036077,"domain_scores_codex":[0.9978451,0.001127867,0.0001314924,0.0003592548,0.0004488142,0.000087604],"domain_scores_gemma":[0.9946925,0.004076543,0.0002420536,0.0003153502,0.0006048516,0.0000687592],"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":[0.0001904261,0.0002267999,0.003152031,0.000386157,0.0005846792,0.0001381768,0.0002945212,0.4962516,0.003869768,0.02068006,0.008179679,0.4660461],"study_design_scores_gemma":[0.00003349705,0.00005118627,0.0002319154,0.0000341385,0.00004056933,0.00002920734,0.00002090324,0.9872288,0.0006988791,0.008178506,0.003431781,0.00002068531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002533793,0.0001612429,0.9945565,0.00007353568,0.00003123839,0.000116845,0.0001071526,0.001825792,0.000593853],"genre_scores_gemma":[0.02720166,0.0002104248,0.9699821,0.00009435978,0.00003061086,0.0005737148,0.0004921305,0.000416211,0.0009987279],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01051999,"threshold_uncertainty_score":0.03410882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186780595819068,"score_gpt":0.3275105669659374,"score_spread":0.2756427610077467,"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."}}