{"id":"W2912364988","doi":"10.1201/9780429424243","title":"Reaction Green Metrics","year":2018,"lang":"en","type":"book","venue":"","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.00004096093,0.0001079199,0.00008542646,0.00001060303,0.00001780844,0.000005561531,0.000127459,0.0001939143,0.009819586],"category_scores_gemma":[0.0000156343,0.0001002045,0.00004642565,0.0000615609,0.00004975999,0.00003784363,0.0001075713,0.0001521088,0.00230566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003133839,"about_ca_system_score_gemma":0.000005335122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004371476,"about_ca_topic_score_gemma":0.000005403164,"domain_scores_codex":[0.9994449,0.000001018998,0.00008654493,0.000191303,0.000173216,0.0001030146],"domain_scores_gemma":[0.9997085,0.00001947242,0.00003071751,0.0001775654,0.000002368409,0.00006135619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002749727,0.00001270178,0.00001972438,0.00003855852,0.00001448883,0.000005055917,0.000011288,0.000009099423,0.05502679,0.00008242933,0.9379133,0.006863839],"study_design_scores_gemma":[0.00003162019,0.00000564177,0.00001309652,0.000008735015,0.00001189102,0.000004893364,6.303885e-7,0.0001220406,0.02127124,0.001062014,0.9773197,0.0001485572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002249596,0.00001054764,0.0001672032,0.00001655693,0.00006653004,0.0000276602,0.000002397319,0.00006709673,0.9994171],"genre_scores_gemma":[0.000479999,0.0000105403,0.0003192144,0.0000488818,0.0002620897,0.000001727311,0.00003303484,0.00001418145,0.9988303],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03940637,"threshold_uncertainty_score":0.9984711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006706990484090966,"score_gpt":0.1788614642348007,"score_spread":0.1721544737507098,"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."}}