{"id":"W1839663547","doi":"10.5376/ijh.2015.05.0012","title":"Genetic Diversity and Relationship in Squash Using Morphological, Chemical and Molecular Analyses","year":2015,"lang":"en","type":"article","venue":"International Journal of Horticulture","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Squash; Genetic diversity; Diversity (politics); Biology; Evolutionary biology; Botany; Sociology; Demography; Anthropology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002095004,0.0001711198,0.000154186,0.001347652,0.0002048609,0.0002628551,0.0000948351,0.0001479643,0.0007556223],"category_scores_gemma":[0.000293412,0.00009369594,0.000159102,0.0006628449,0.0001880477,0.0001200853,0.0002037379,0.0001058486,0.0001370166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602934,"about_ca_system_score_gemma":0.00009331093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125123,"about_ca_topic_score_gemma":0.006633989,"domain_scores_codex":[0.9998611,0.0000227604,0.00001577797,0.00005415493,0.00002712527,0.00001905358],"domain_scores_gemma":[0.9997966,0.0000348051,0.00007133927,0.00001560305,0.0000371656,0.00004446006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003480748,0.00005805519,0.6756851,0.00006729436,0.0001440525,0.0003158484,0.0007395144,0.0001711642,0.3106565,0.0001090668,0.00003172077,0.01167343],"study_design_scores_gemma":[0.000003917517,0.00009649791,0.9973292,0.000005324643,0.00001862558,0.0003040462,0.0001331367,0.0001896982,0.001684669,0.00003399518,0.0001960552,0.000004866871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996537,0.00005670965,0.0001048209,0.000003310614,5.191037e-7,0.000002410685,0.00006308249,0.000001857497,0.0001137319],"genre_scores_gemma":[0.9992779,0.00003582999,0.0002926419,0.000004426753,0.000001309878,0.000002537408,0.0002353808,0.000001269516,0.0001487239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003125123,"threshold_uncertainty_score":0.006213903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0917914606345279,"score_gpt":0.4007614706645519,"score_spread":0.308970010030024,"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."}}