{"id":"W2053199468","doi":"10.1111/j.1601-5223.1962.tb01817.x","title":"A SQUASH TECHNIQUE FOR CHROMOSOME MORPHOLOGICAL STUDIES","year":2009,"lang":"en","type":"article","venue":"Hereditas","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Biology; Library science; Genetics; Humanities; Philosophy; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001312104,0.0001019331,0.0001528147,0.000004619949,0.0001221169,0.00001561996,0.0001472803,0.00009761507,0.0001010841],"category_scores_gemma":[0.00005477828,0.0000348836,0.00007182354,0.00009764722,0.00003840384,0.00003008896,0.00002049612,0.00006247412,0.00002135155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001174692,"about_ca_system_score_gemma":0.000003578321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002177316,"about_ca_topic_score_gemma":0.00001508296,"domain_scores_codex":[0.9993787,0.00002418146,0.0001245875,0.0001873475,0.00007155444,0.0002135961],"domain_scores_gemma":[0.9996436,0.0001851391,0.0000389566,0.00003525558,0.00004313064,0.00005395185],"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":[0.00003820207,0.000113685,0.00029768,0.00000589827,0.00001679687,0.00002547462,0.00002016339,0.000001883387,0.9411466,0.000757776,0.02807348,0.02950244],"study_design_scores_gemma":[0.0004855044,0.005205968,0.04539968,0.00007778451,0.00005674575,0.0003186337,0.0004360223,0.00002975318,0.2536994,0.04834164,0.6451069,0.0008420549],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939851,0.001464073,0.0001070306,0.00205661,0.0002221321,0.0006575867,0.0002460226,0.0001131483,0.001148264],"genre_scores_gemma":[0.996988,0.00009512115,0.001309193,0.0006323901,0.0007196727,0.00009982624,0.00005688509,3.157218e-7,0.00009861926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6874472,"threshold_uncertainty_score":0.1422512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06468538371396754,"score_gpt":0.2708728617969413,"score_spread":0.2061874780829737,"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."}}