{"id":"W2046711282","doi":"10.1002/masy.200851106","title":"Estimating Reactivity Ratios From Triad Fraction Data","year":2008,"lang":"en","type":"article","venue":"Macromolecular Symposia","topic":"Process Optimization and Integration","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Triad (sociology); Reactivity (psychology); Fraction (chemistry); Copolymer; Composition (language); Thermodynamics; Multiplicative function; Mole fraction; Chemistry; Statistics; Mathematics; Materials science; Organic chemistry; Mathematical analysis; Physics; Polymer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00672757,0.0007788485,0.001049424,0.004482185,0.0002327962,0.001080359,0.0008898129,0.0008837226,0.001337928],"category_scores_gemma":[0.01651175,0.0004723147,0.0008109207,0.002445909,0.0003077363,0.001313296,0.0005470265,0.0006533281,0.0009299931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583719,"about_ca_system_score_gemma":0.0003394998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002202,"about_ca_topic_score_gemma":0.0009191599,"domain_scores_codex":[0.995939,0.001513515,0.000407502,0.0006423988,0.001379729,0.0001178646],"domain_scores_gemma":[0.9886773,0.006916644,0.001334899,0.001365332,0.001656537,0.00004944486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001077009,0.0004583143,0.06680845,0.001199169,0.0004883516,0.0004231331,0.0003222888,0.3130379,0.1881629,0.004688124,0.0009295432,0.4224049],"study_design_scores_gemma":[0.00003195716,0.0004588656,0.02813883,0.00006276894,0.0001853785,0.0002854312,0.000133342,0.5896868,0.371045,0.00482931,0.00500722,0.0001351903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3545952,0.0006775334,0.6403632,0.00005370529,0.00002642954,0.00009924655,0.001134002,0.000999066,0.002051653],"genre_scores_gemma":[0.8320572,0.0005578929,0.163221,0.00002647425,0.00001569903,0.0001877514,0.00227949,0.0001409162,0.001513625],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00672757,"threshold_uncertainty_score":0.03557926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283383270301163,"score_gpt":0.2435673211285537,"score_spread":0.2207334884255421,"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."}}