{"id":"W2073797293","doi":"10.1055/s-2005-837598","title":"Identification and Characterisation of a Bryophyte Polyphenol Oxidase Encoding Gene from <i>Physcomitrella patens</i>","year":2005,"lang":"en","type":"article","venue":"Plant Biology","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Hamburg; Chinese Academy of Agricultural Sciences; University of Waterloo; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Physcomitrella patens; Biology; Bryophyte; Polyphenol oxidase; Gene; Identification (biology); Mutagenesis; Botany; Genetics; Mutation; Mutant; Enzyme; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008502408,0.0004000983,0.0002507111,0.0003083678,0.0001623099,0.000321216,0.0001593253,0.0003236749,0.0006277275],"category_scores_gemma":[0.000180251,0.000149305,0.0004364752,0.0003128937,0.0001644048,0.0001938905,0.0002711076,0.0004933486,0.0006845268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002076873,"about_ca_system_score_gemma":0.0003259208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271421,"about_ca_topic_score_gemma":0.0008127696,"domain_scores_codex":[0.9999293,0.000005186127,0.000006516545,0.00002677178,0.00001901984,0.00001307172],"domain_scores_gemma":[0.9997806,0.00004874618,0.00007173811,0.00001796265,0.00003350826,0.0000474312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000326027,0.00001125377,0.0007584763,0.00004968565,0.000003260486,0.0001026514,0.00003366625,0.00002125553,0.9972671,0.00002534263,0.00003040274,0.001664377],"study_design_scores_gemma":[0.00004804186,0.0004528516,0.2792975,0.00006174707,0.0001376146,0.004125408,0.0004020477,0.001408048,0.6940591,0.000199433,0.01976847,0.00003982742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909058,0.0007713976,0.004543245,0.000233162,0.00003032594,0.00003897584,0.002679386,0.00007297371,0.0007246669],"genre_scores_gemma":[0.9569057,0.001580531,0.01327164,0.0002621005,0.0000525923,0.0001165634,0.02194686,0.00008590351,0.005778156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001271421,"threshold_uncertainty_score":0.002528071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313157576807103,"score_gpt":0.1894695597545402,"score_spread":0.1763379839864692,"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."}}