{"id":"W4230836836","doi":"10.1515/iupac.81.0628","title":"Neophyte","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; 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":[0.0008686313,0.001628816,0.001156487,0.003659415,0.0009227655,0.002660533,0.002368032,0.001726074,0.05560089],"category_scores_gemma":[0.005357621,0.0005671938,0.001341734,0.005133293,0.0004218234,0.001974094,0.003250159,0.001864429,0.08981315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213198,"about_ca_system_score_gemma":0.002180604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01371773,"about_ca_topic_score_gemma":0.03455328,"domain_scores_codex":[0.9988911,0.0001845067,0.0001394803,0.0003650209,0.0002592842,0.0001607899],"domain_scores_gemma":[0.9985155,0.0003921309,0.0001783138,0.000397782,0.0003392073,0.0001769768],"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":[0.00008829551,0.0000263499,0.002125514,0.001680281,0.00004558986,0.00005027282,0.00006534152,0.0003893393,0.0002948266,0.00151573,0.9871953,0.006523244],"study_design_scores_gemma":[0.00007993267,0.00001169767,0.003007741,0.0003766833,0.00001894621,0.00008356565,0.00008036139,0.0003012427,0.0002262096,0.001295968,0.9945014,0.00001629059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002627848,0.0001837761,0.0001131095,0.00008950137,0.00003081787,0.00001346641,0.9976882,0.0003175151,0.001300802],"genre_scores_gemma":[0.0003877716,0.0001124179,0.0003690337,0.00006483781,0.000004830021,0.00005846525,0.9982334,0.00004922948,0.0007198615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05560089,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398021974665464,"score_gpt":0.3438887293717068,"score_spread":0.3299085096250521,"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."}}