{"id":"W4235246199","doi":"10.1515/iupac.81.0491","title":"Interstitial Water","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Environmental science; Biology; Data mining; Philosophy; Linguistics","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":[0.0007363187,0.001504778,0.001268067,0.003391166,0.0007386302,0.002218778,0.002446282,0.00146248,0.06642844],"category_scores_gemma":[0.00457221,0.0005186628,0.001194938,0.006961366,0.0003244749,0.001925213,0.00212877,0.001341888,0.08494432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559631,"about_ca_system_score_gemma":0.00253913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0369496,"about_ca_topic_score_gemma":0.07285783,"domain_scores_codex":[0.9989192,0.0001404149,0.0001520132,0.0003566885,0.0002747446,0.0001568716],"domain_scores_gemma":[0.9979501,0.0003774605,0.0003261783,0.0004227982,0.0007491938,0.0001741703],"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":[0.0000916609,0.00001812569,0.003389086,0.001386859,0.00004703922,0.00003856454,0.0000320786,0.0003738431,0.0002030724,0.0008138647,0.9852161,0.008389683],"study_design_scores_gemma":[0.0001070912,0.00001049305,0.006029357,0.0005020797,0.00003058368,0.00007502647,0.0001025986,0.0003174439,0.0003085366,0.001312783,0.9911801,0.0000239898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000151448,0.0001112146,0.00006591294,0.00005165219,0.00002039896,0.000007347193,0.9984673,0.0001372104,0.0009875128],"genre_scores_gemma":[0.0004633356,0.0001098866,0.0002509386,0.00005406398,0.000005166746,0.00002834957,0.9983476,0.0000302367,0.0007103301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06642844,"threshold_uncertainty_score":0.2222252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00869022119660024,"score_gpt":0.3450488950638949,"score_spread":0.3363586738672947,"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."}}