{"id":"W2032376655","doi":"10.2118/82227-ms","title":"SQUEEZE Modelling: Treatment Design and Case Histories","year":2003,"lang":"en","type":"article","venue":"SPE European Formation Damage Conference","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nalcor Energy (Canada)","funders":"Heriot-Watt University","keywords":"Computer science; Selection (genetic algorithm); Matching (statistics); Field (mathematics); Reliability engineering; Engineering; Machine learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001852917,0.0006932701,0.0006257596,0.0009173506,0.000825464,0.001229182,0.001255058,0.001971329,0.003766584],"category_scores_gemma":[0.005089073,0.0004886455,0.0007059608,0.0008021898,0.001103955,0.0008862004,0.0009824361,0.001133361,0.0004590376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704212,"about_ca_system_score_gemma":0.0006744784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00489813,"about_ca_topic_score_gemma":0.005665071,"domain_scores_codex":[0.9990043,0.0004270561,0.00005566641,0.0001033503,0.000278701,0.0001310015],"domain_scores_gemma":[0.9969811,0.002072755,0.0002410076,0.0003786945,0.0002039946,0.0001224537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008923767,0.0007960493,0.01178264,0.0003218531,0.00005470937,0.003346493,0.0006261299,0.9216079,0.006853329,0.008058616,0.00128433,0.04437551],"study_design_scores_gemma":[0.0001494156,0.002547784,0.005143877,0.000093579,0.00006203259,0.001060012,0.0008210819,0.9388025,0.03363411,0.008108828,0.009466678,0.0001101501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919477,0.00040602,0.06864189,0.0003160628,0.00003599257,0.000501496,0.0004458029,0.0002982616,0.009877486],"genre_scores_gemma":[0.9824325,0.0002393298,0.01355574,0.00002445673,0.000005555395,0.0002305252,0.0001470582,0.00003272375,0.003332213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00489813,"threshold_uncertainty_score":0.01260054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07588694164686433,"score_gpt":0.240296983782477,"score_spread":0.1644100421356126,"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."}}