{"id":"W2141385512","doi":"10.7901/2169-3358-2005-1-671","title":"OIL COMPOSITION AND PROPERTY DATABASE FOR OIL SPILL MODELING","year":2005,"lang":"en","type":"article","venue":"International Oil Spill Conference Proceedings","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Database; Composition (language); Petroleum; Environmental science; Oil spill; Computer science; Environmental protection; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002540851,0.0002056317,0.0001467238,0.00008316191,0.0002107215,0.0002077942,0.0002619587,0.00008423332,0.0006517486],"category_scores_gemma":[0.00008498332,0.0001697613,0.00005586048,0.0001025424,0.0001184671,0.0008650278,0.0001605848,0.0001526101,0.0001672323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347179,"about_ca_system_score_gemma":0.000018732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002402253,"about_ca_topic_score_gemma":0.0001092431,"domain_scores_codex":[0.9984846,0.000006015473,0.0003231035,0.000504667,0.0004217682,0.0002598728],"domain_scores_gemma":[0.9994258,0.00001693511,0.000134737,0.00008046532,0.0001952649,0.0001467879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001773557,0.0001197137,0.001639252,0.00009141711,0.00003073667,0.000001184015,0.0008323198,0.0006321776,0.2017714,0.0043526,0.0009006542,0.7894512],"study_design_scores_gemma":[0.001664845,0.0001257917,0.0005452324,0.0002440197,0.00003960832,0.00006598537,0.0003212451,0.8898106,0.02115971,0.0006894903,0.08473592,0.0005975277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957818,0.00003301422,0.002343086,0.005750983,0.0003276989,0.00005613554,0.00005771558,0.0001478465,0.09550173],"genre_scores_gemma":[0.9835599,0.0002926607,0.007734034,0.000869423,0.0002572435,0.0001220075,0.00007137145,0.00002202269,0.007071306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8891785,"threshold_uncertainty_score":0.7136191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792860779453172,"score_gpt":0.2548979804512706,"score_spread":0.2269693726567389,"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."}}