{"id":"W4409556344","doi":"10.5006/c2004-04622","title":"Prediction of Inhibitor Behaviour in the Field from Data in the Laboratory","year":2004,"lang":"en","type":"article","venue":"","topic":"Heat Transfer and Numerical Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Field (mathematics); Corrosion inhibitor; Computer science; Materials science; Corrosion; Metallurgy; Mathematics","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":[0.0003759436,0.00004502784,0.00006536019,0.00002273778,0.000007377043,0.000006766871,0.0002501931,0.00004606045,0.00002556599],"category_scores_gemma":[0.00005045435,0.00002550684,0.000009801071,0.0002128419,0.000009133243,0.00007993777,0.00000940632,0.0001733943,0.000001947367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000864783,"about_ca_system_score_gemma":0.000009378263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009154732,"about_ca_topic_score_gemma":0.0003880314,"domain_scores_codex":[0.9995512,0.00007267092,0.0001378497,0.00007087537,0.0000947271,0.00007261191],"domain_scores_gemma":[0.9994314,0.0002443365,0.000002288315,0.0003069436,0.000004991524,0.00001002205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001770045,0.002353109,0.6211432,0.0003725618,0.0001330776,0.0001911179,0.06562711,0.01514649,0.1514954,0.00566059,0.02990828,0.1077921],"study_design_scores_gemma":[0.001338995,0.000175485,0.9295542,0.00009476078,0.00003249835,0.00000156038,0.002662992,0.002656881,0.05793516,0.001468643,0.003893037,0.0001857603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618636,0.000156567,0.03527089,0.0008190569,0.0001657947,0.0001378884,0.0001368354,0.00003549276,0.001413834],"genre_scores_gemma":[0.9976897,0.00002565337,0.001890195,0.0003128373,0.00005315125,0.000008134013,0.00001550974,0.000004277469,5.682346e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.308411,"threshold_uncertainty_score":0.1383928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03635744928657914,"score_gpt":0.2894106382687727,"score_spread":0.2530531889821935,"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."}}