{"id":"W6947760672","doi":"10.4224/21263082","title":"A direct polynomial regression for PMM data analysis and application","year":2012,"lang":"en","type":"report","venue":"NPARC","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Government of Canada","funders":"","keywords":"Rudder; Set (abstract data type); Polynomial; Variable (mathematics); Regression analysis; Data set; Harmonic","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003956197,0.0002379651,0.0005815272,0.00006328595,0.00008118642,0.00004145257,0.0003996424,0.0004209658,0.0009648807],"category_scores_gemma":[0.0002839321,0.0001889861,0.0001916665,0.0001261674,0.00004718054,0.00005878864,0.0003138113,0.0001739666,0.000005387707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077581,"about_ca_system_score_gemma":0.000102728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001602863,"about_ca_topic_score_gemma":0.00003257737,"domain_scores_codex":[0.9983941,0.000007914166,0.0003258892,0.0006613541,0.0003606696,0.0002500744],"domain_scores_gemma":[0.997981,0.0002263356,0.0003163513,0.001263054,0.000076749,0.000136499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004423831,0.00009676426,0.00231382,0.0005953363,0.0007654638,6.194675e-7,0.00001442782,6.62445e-8,0.6046262,0.000003520765,0.09103093,0.3005086],"study_design_scores_gemma":[0.0001319079,0.000002365039,0.0001625594,0.00008977629,0.002077857,0.000003663716,0.00000485474,0.0003032036,0.1261349,0.00003708226,0.8707818,0.0002699442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02452742,0.005349037,0.002120971,0.000401294,0.0002991772,0.0005181145,0.006837148,0.000252718,0.9596941],"genre_scores_gemma":[0.93602,0.00291529,0.005774504,0.000029063,0.00619373,0.0003610844,0.01890162,0.0001327408,0.029672],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9300221,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05391075135180556,"score_gpt":0.3188447637238954,"score_spread":0.2649340123720899,"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."}}