{"id":"W2400064635","doi":"","title":"Molecular Symmetry and Specialization of Atomic Connectivity by Class-based Reasoning of Chemical Structure.","year":2012,"lang":"en","type":"article","venue":"Research Publications (Maastricht University)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Representation (politics); Context (archaeology); Class (philosophy); RDF; Semantic Web; Theoretical computer science; Artificial intelligence; Information retrieval; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003435807,0.00006982347,0.0001165974,0.0003252472,0.00006130632,0.000009668613,0.0002071431,0.0001730126,0.00001444061],"category_scores_gemma":[0.0009100711,0.00007419979,0.00003607522,0.0009324056,0.0004349672,0.00001221035,0.0001432327,0.0001307927,4.429456e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003836992,"about_ca_system_score_gemma":0.000159126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002497524,"about_ca_topic_score_gemma":0.000002009298,"domain_scores_codex":[0.9990733,0.0001738541,0.0001112384,0.000188004,0.0002198905,0.0002337752],"domain_scores_gemma":[0.9991425,0.00009857622,0.00008347911,0.0002399168,0.0003033715,0.0001321932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005767616,0.0001758884,0.04430225,0.00003890468,0.00005730676,3.598623e-7,0.00002527342,0.000003636533,0.9283549,0.01889658,0.004077241,0.004009986],"study_design_scores_gemma":[0.0006926655,0.0001492231,0.008217077,0.00001849889,0.00002554983,0.000003227565,0.0002295262,0.0002830406,0.9128364,0.00008494262,0.07732635,0.0001335052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892902,0.0004956569,0.008425371,0.0002515971,0.00001604477,0.0001080513,0.00007685646,0.00001201805,0.001324236],"genre_scores_gemma":[0.9981137,0.00003952884,0.00150883,0.000008679683,0.00003122421,8.870798e-7,0.0001496455,0.000006476909,0.0001410565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07324911,"threshold_uncertainty_score":0.3025779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343070237027087,"score_gpt":0.2981535510126697,"score_spread":0.2747228486423988,"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."}}