{"id":"W4234837541","doi":"10.1515/iupac.81.0667","title":"Periphyton","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Periphyton; Ecology; Environmental science; Computer science; Biology; Philosophy","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":[0.0008664581,0.001416168,0.001234772,0.003866595,0.0009526863,0.003472683,0.001783461,0.00118635,0.1628458],"category_scores_gemma":[0.008019296,0.0006343893,0.0009826421,0.01001731,0.0004052018,0.002324322,0.003259646,0.001780201,0.2221947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408682,"about_ca_system_score_gemma":0.002729024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973599,"about_ca_topic_score_gemma":0.03186264,"domain_scores_codex":[0.9985802,0.0002205499,0.0001933872,0.0004645603,0.0003437085,0.0001975747],"domain_scores_gemma":[0.9972065,0.0007194876,0.0003016464,0.0005974066,0.0008845528,0.0002904424],"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":[0.00004411225,0.000008053004,0.0007743746,0.0007531987,0.00001382432,0.00001874527,0.00004929433,0.00008186709,0.00009595315,0.0006955325,0.9929869,0.004478169],"study_design_scores_gemma":[0.00003281483,0.000006268047,0.002123499,0.0002893181,0.000007970445,0.00002706786,0.00007609613,0.00007148263,0.00008148132,0.0007586538,0.9965154,0.00000995204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001424677,0.0001183857,0.00007508266,0.0001009946,0.00003068709,0.00001044194,0.9975109,0.0002386434,0.00177236],"genre_scores_gemma":[0.000385685,0.0001469718,0.0002383511,0.00009716966,0.000009791418,0.00006679934,0.9969643,0.0001096033,0.001981228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1628458,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549264804902327,"score_gpt":0.4195934834374984,"score_spread":0.4041008353884751,"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."}}