{"id":"W6893613888","doi":"10.5281/zenodo.3790192","title":"Lasionycta subfuscula subsp. subfuscula subfuscula (Grote","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Disjunct; Subspecies; Holotype; Population; Type locality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00006066482,0.0003022539,0.0001263495,0.001190577,0.0008978744,0.0002958674,0.0003311062,0.0001762179,0.02250204],"category_scores_gemma":[0.00008263408,0.0001110095,0.000120038,0.0007660785,0.0002534701,0.0004621516,0.0007199202,0.0002687638,0.00403583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004188246,"about_ca_system_score_gemma":0.0002936636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03468418,"about_ca_topic_score_gemma":0.1617658,"domain_scores_codex":[0.9999506,0.000003117313,0.000002698805,0.00002043979,0.00001248478,0.00001048054],"domain_scores_gemma":[0.9999505,0.000005652546,0.00001643012,0.000004873729,0.00001591681,0.000006576376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002018302,0.00009715149,0.1326804,0.0004421065,0.00006764973,0.001429798,0.002917388,0.0005209831,0.02443885,0.003511078,0.07035325,0.7633396],"study_design_scores_gemma":[0.00002830415,0.00006964265,0.6343728,0.0002189683,0.00003119026,0.001042538,0.002205722,0.0002371277,0.001112082,0.0007137313,0.3599472,0.00002072092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5881824,0.00306552,0.002917891,0.0006082997,0.0001333438,0.000410648,0.01223162,0.0008409472,0.3916093],"genre_scores_gemma":[0.8942439,0.001468018,0.005529396,0.0006744587,0.00004883904,0.000301628,0.0154292,0.0001063033,0.08219811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03468418,"threshold_uncertainty_score":0.07527679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551524118671893,"score_gpt":0.2149312081694315,"score_spread":0.1994159669827126,"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."}}