{"id":"W2369111289","doi":"","title":"Reviews of Presidential Green Chemistry Challenge Awards of USA in 2010","year":2010,"lang":"en","type":"article","venue":"Fain kemikaru","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry; Management; Chemical company; Chemical industry; Presidential system; Engineering; Political science; Polymer science; Organic chemistry; Law; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002222875,0.0001047488,0.0002178312,0.00000774302,0.000009154447,0.000002166109,0.0002811258,0.0001294589,0.006129404],"category_scores_gemma":[0.0001481507,0.0001019976,0.0000714312,0.0001089587,0.0001206585,0.00006113992,0.0001449583,0.0002629231,0.0000329285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002537283,"about_ca_system_score_gemma":0.000007161774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004119735,"about_ca_topic_score_gemma":0.0001206389,"domain_scores_codex":[0.9991621,0.000007243217,0.0003167517,0.0001839786,0.0001694952,0.0001604293],"domain_scores_gemma":[0.9995035,0.00002776864,0.00009685723,0.0003001381,0.000006182977,0.00006557413],"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":[0.00000512784,0.00005341349,0.004644185,0.0001836941,0.000002340156,0.000001558354,0.00008965303,0.0000598768,0.9928766,0.000003713047,0.0006187726,0.001461055],"study_design_scores_gemma":[0.0002295967,0.000007213761,0.008099673,0.00004719641,0.000006425765,0.000002626897,0.00001026121,0.0002758609,0.9808569,0.00009297162,0.01024252,0.0001287528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805481,0.00008425237,0.0000223798,0.00004679895,0.00008013044,0.00007690901,0.000007005442,0.000008050441,0.01912635],"genre_scores_gemma":[0.9980636,0.00008449109,0.000434942,0.000006182758,0.00007894027,0.00001067174,0.000005237073,0.000007866689,0.00130807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01781828,"threshold_uncertainty_score":0.9947791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007283514761733239,"score_gpt":0.2145362478816962,"score_spread":0.207252733119963,"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."}}