{"id":"W6968789304","doi":"10.5281/zenodo.5458130","title":"Colenis Erichson 1842","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Peck (Imperial); Subgenus; French horn; Type (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002258996,0.001453393,0.0006734989,0.003225233,0.002587219,0.0008113628,0.0007201466,0.0008439646,0.04267711],"category_scores_gemma":[0.000436251,0.0003492071,0.0001854145,0.001467633,0.0007024207,0.001946356,0.001268485,0.0008145347,0.01633631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170266,"about_ca_system_score_gemma":0.0005340666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01475628,"about_ca_topic_score_gemma":0.02810219,"domain_scores_codex":[0.9996107,0.00004322433,0.0000286567,0.0001326365,0.0001180538,0.00006675768],"domain_scores_gemma":[0.9997423,0.00003428757,0.00009600069,0.00002047783,0.0000700276,0.00003679663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004473228,0.0001710927,0.0224572,0.0009092359,0.00007958108,0.00158057,0.001980143,0.0004070653,0.0125847,0.00834622,0.1410979,0.8099389],"study_design_scores_gemma":[0.00004955414,0.0001032524,0.0849944,0.0006046667,0.00006111964,0.00397805,0.0009061658,0.0001884566,0.001036621,0.0009753835,0.9070708,0.00003155773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08639444,0.04297529,0.004275038,0.001077878,0.001401361,0.0008628978,0.005765419,0.00102126,0.8562265],"genre_scores_gemma":[0.7122284,0.02346521,0.0116519,0.002645869,0.001226758,0.0005534778,0.00690776,0.0002280498,0.2410926],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04267711,"threshold_uncertainty_score":0.1427692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599083598160069,"score_gpt":0.2476040532875418,"score_spread":0.2216132173059411,"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."}}