{"id":"W4410191537","doi":"10.53288/0405.1.17","title":"Extraction","year":2025,"lang":"en","type":"book-chapter","venue":"Punctum Books","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Victoria University of Wellington","keywords":"Extraction (chemistry); Computer science; Chromatography; Chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004311863,0.000255984,0.000207105,0.0001155424,0.0000545913,0.00005376568,0.00008552975,0.00028736,0.001758051],"category_scores_gemma":[0.00001036279,0.0002589806,0.0001035061,0.00001362144,0.00001915726,0.0001078818,0.0000116131,0.0004027079,0.0006985445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000809141,"about_ca_system_score_gemma":0.00005034567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000129468,"about_ca_topic_score_gemma":0.00001353073,"domain_scores_codex":[0.9993005,0.000002423851,0.0002432048,0.0001793819,0.0001513378,0.0001231821],"domain_scores_gemma":[0.999586,0.00004641615,0.00004811491,0.0002021082,0.00006450203,0.00005289866],"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":[0.00001132861,0.000008468043,0.00000103987,0.000483813,0.0001742748,0.0000204494,0.00005237342,0.0006823321,0.0007229504,0.3105927,0.6160517,0.07119857],"study_design_scores_gemma":[0.00006414142,0.000006326389,0.000004712489,0.00007677894,0.00004085265,0.000008381717,0.000002553462,0.000652612,0.0006164122,0.01013381,0.9881647,0.0002287614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001776232,0.001383728,0.00526886,0.00004737132,0.001295445,0.0001237777,0.00001358362,0.000665102,0.9912003],"genre_scores_gemma":[0.001005899,0.0005987514,0.0001268329,0.0001627554,0.0002268443,0.0000169443,0.00005488229,0.00004804313,0.997759],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.372113,"threshold_uncertainty_score":0.9999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416156887653149,"score_gpt":0.2365820326096516,"score_spread":0.2224204637331201,"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."}}