{"id":"W1971037733","doi":"10.1111/j.1601-5223.1953.tb03398.x","title":"ON POSITION CORRELATIONS OF UNIVALENTS AND QUASI-BIVALENTS FORMED BY STICKY UNIVALENTS","year":2010,"lang":"en","type":"article","venue":"Hereditas","topic":"Botanical Research and Chemistry","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Citation; Library science; Biology; 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":[0.001773498,0.0002883999,0.0006850248,0.001247348,0.0006664231,0.001798988,0.0008894705,0.0004165578,0.00332719],"category_scores_gemma":[0.008914657,0.0003835307,0.000476329,0.001574235,0.001493366,0.001594937,0.0008310984,0.0009056972,0.0002444015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006531339,"about_ca_system_score_gemma":0.0004346129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023625,"about_ca_topic_score_gemma":0.001343822,"domain_scores_codex":[0.9991191,0.000282633,0.00004301372,0.0002235541,0.0002204077,0.0001112456],"domain_scores_gemma":[0.9894384,0.007633939,0.001216303,0.0005512735,0.000583638,0.0005765068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004633198,0.00006952744,0.01345691,0.0001078959,0.00006043392,0.0004033554,0.0004864983,0.02170828,0.01321796,0.9226382,0.001386129,0.0260016],"study_design_scores_gemma":[0.00009933294,0.0002345194,0.04537601,0.00006927305,0.0000863129,0.0006658971,0.0004977966,0.2151392,0.006442532,0.7281944,0.003077206,0.0001173994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918908,0.0008298985,0.0972941,0.0002156899,0.00006748941,0.0000192701,0.0002156726,0.00006610482,0.009401028],"genre_scores_gemma":[0.9896945,0.0003351338,0.007006996,0.00004425081,0.00007333435,0.00002101048,0.000244965,0.00005024862,0.002529497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00332719,"threshold_uncertainty_score":0.01113057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009996257951364816,"score_gpt":0.235594581467624,"score_spread":0.2255983235162592,"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."}}