{"id":"W4229842759","doi":"10.1515/iupac.81.0169","title":"Chemisorption","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); Ecology; Computer 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":[0.001203209,0.003315035,0.002217609,0.004014092,0.001771539,0.004390983,0.005779499,0.003233199,0.07964716],"category_scores_gemma":[0.005304551,0.001019858,0.002278594,0.007854852,0.0006310678,0.003953649,0.003685767,0.004087821,0.1479417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002632276,"about_ca_system_score_gemma":0.003869525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02306562,"about_ca_topic_score_gemma":0.04800788,"domain_scores_codex":[0.9982135,0.0002858082,0.0002088156,0.0005082886,0.0005561479,0.0002273142],"domain_scores_gemma":[0.9980499,0.0004613505,0.0002485151,0.0005791613,0.0004640802,0.0001969623],"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":[0.0001307973,0.00003456643,0.0009993642,0.002582485,0.00004919129,0.00004469117,0.00003690982,0.0005529985,0.0002736812,0.001712394,0.9885544,0.00502851],"study_design_scores_gemma":[0.0001276743,0.0000130443,0.001452299,0.0003866572,0.00002454373,0.00006508247,0.00003984274,0.0004623457,0.0004708111,0.002147461,0.9947829,0.00002728334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001686184,0.0003971028,0.0001250186,0.0001512267,0.00003727575,0.00001942861,0.9959331,0.0008168445,0.00235142],"genre_scores_gemma":[0.0003410115,0.0002640169,0.000417975,0.0001069321,0.000005296918,0.00006064129,0.9978552,0.0001134887,0.0008353472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07964716,"threshold_uncertainty_score":0.2664463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009120795609432658,"score_gpt":0.3506952741582462,"score_spread":0.3415744785488135,"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."}}