{"id":"W4205110270","doi":"10.1111/j.1601-5223.1953.tb03405.x","title":"SUBARCTIC POLYPLOIDY","year":2010,"lang":"ceb","type":"article","venue":"Hereditas","topic":"Botanical Research and Chemistry","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Subarctic climate; Citation; Library science; Biology; Ecology; Computer science","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":[0.0002849515,0.0002762222,0.000237129,0.001153742,0.0004440266,0.0005751207,0.0001653094,0.000143971,0.003681222],"category_scores_gemma":[0.000400515,0.00009444748,0.0001036202,0.0009601493,0.0006238096,0.0004966661,0.0005146666,0.0003411898,0.000584162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006393105,"about_ca_system_score_gemma":0.0003978949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006935032,"about_ca_topic_score_gemma":0.01360532,"domain_scores_codex":[0.9998726,0.00001732455,0.000007915048,0.0000544075,0.00001677171,0.00003095963],"domain_scores_gemma":[0.9996468,0.00005119611,0.0001135993,0.00005510988,0.00007622147,0.00005709301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002155198,0.0001029522,0.5277063,0.0005017123,0.0004204259,0.002318437,0.003023405,0.001463831,0.268519,0.009428919,0.001288075,0.1830717],"study_design_scores_gemma":[0.00002451698,0.00007886781,0.9858037,0.00002268886,0.00006933302,0.001267388,0.000575756,0.000159299,0.00296212,0.0008626137,0.008165805,0.000007908205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853401,0.00165988,0.000730592,0.0001500425,0.00001688981,0.000003975387,0.0002449057,0.00004992821,0.01180357],"genre_scores_gemma":[0.9969007,0.000976693,0.0002764245,0.00005565126,0.00002062607,0.000002455299,0.0002185724,0.000009746988,0.001539141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006935032,"threshold_uncertainty_score":0.01378936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008524257216956443,"score_gpt":0.2303222579795149,"score_spread":0.2217980007625585,"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."}}