{"id":"W2093509675","doi":"10.1142/9789812701824_0002","title":"CALIBRATION AND RESULTS FROM THE SNO SALT PHASE","year":2005,"lang":"en","type":"article","venue":"","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Calibration; Salt (chemistry); Phase (matter); Computer science; Materials science; Environmental science; Chemistry; Mathematics; Statistics","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":[0.002301567,0.0007993459,0.0005075245,0.001024444,0.0009663758,0.001279259,0.0008904478,0.001098243,0.003925635],"category_scores_gemma":[0.003443727,0.0005493632,0.000912905,0.001760807,0.0005369936,0.001122797,0.001472234,0.0007823496,0.002880902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007514947,"about_ca_system_score_gemma":0.0010959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549725,"about_ca_topic_score_gemma":0.03617678,"domain_scores_codex":[0.9989467,0.0001746577,0.00005322778,0.0002632285,0.0004192525,0.0001428616],"domain_scores_gemma":[0.9981186,0.0002801888,0.0001744976,0.0005978644,0.0007342883,0.00009449616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004067129,0.001129641,0.3308789,0.0003191381,0.0008043469,0.0005859009,0.00193864,0.2665666,0.102098,0.01159655,0.03294659,0.2470684],"study_design_scores_gemma":[0.001222363,0.0003904216,0.5015987,0.0001049278,0.0004684793,0.0003328297,0.001035427,0.3465905,0.06976489,0.006613107,0.07164235,0.0002359838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813698,0.0002795884,0.05114297,0.0006945459,0.0002865467,0.0001393884,0.008322145,0.003111228,0.05465381],"genre_scores_gemma":[0.9358802,0.0001069864,0.04098809,0.0002690795,0.00005752388,0.0001156856,0.01397787,0.00182846,0.006776074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01549725,"threshold_uncertainty_score":0.03081405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624692219351575,"score_gpt":0.2348916220659308,"score_spread":0.2086446998724151,"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."}}