{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002887826,0.0002119419,0.0002034241,0.000005259127,0.0002661789,0.0001910221,0.0005863874,0.0003783611,0.03038653],"category_scores_gemma":[0.000578113,0.00008817371,0.0001784422,0.0002954264,0.0003126774,0.0001138266,0.0001783871,0.001062734,0.002144696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002036857,"about_ca_system_score_gemma":0.00005321611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003457151,"about_ca_topic_score_gemma":0.0008747365,"domain_scores_codex":[0.997999,0.00004756996,0.0002425707,0.0004429767,0.0005050082,0.0007628792],"domain_scores_gemma":[0.9986506,0.0003361258,0.00006273659,0.0001722424,0.00010378,0.0006744774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003642069,0.0002247408,0.003514243,0.00002694716,0.00002451719,0.00005329022,0.00001634425,2.480609e-8,0.9085359,0.0005847657,0.03426389,0.05271895],"study_design_scores_gemma":[0.0006773669,0.0008620741,0.1581421,0.00008288605,0.0000681562,0.0001250893,0.001081366,0.00009608897,0.1172782,0.005510659,0.7150054,0.001070636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703752,0.0006335553,3.736053e-7,0.006601999,0.001215977,0.0001231856,0.0001004673,0.00006838854,0.02088079],"genre_scores_gemma":[0.9879975,0.0001237347,0.00004113221,0.0003041369,0.004327525,0.000008697353,0.00003359625,0.000002732635,0.007160909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7912577,"threshold_uncertainty_score":0.9986323,"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."}}