{"id":"W7066080488","doi":"","title":"2018 First Quarter Technical Report - GTSPI: Genomic Tools for Sweetpotato Improvement","year":2021,"lang":"en","type":"other","venue":"MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas))","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Technical report; Technical analysis; Technical progress","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002633536,0.00158468,0.001017692,0.001810371,0.0008511166,0.002587577,0.001630293,0.001169853,0.1376602],"category_scores_gemma":[0.003613171,0.000650274,0.0009320332,0.001681055,0.0002925865,0.002279955,0.002128992,0.001904991,0.1613628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007759099,"about_ca_system_score_gemma":0.001925944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002540666,"about_ca_topic_score_gemma":0.004499847,"domain_scores_codex":[0.9988361,0.0001444912,0.00006589385,0.0002028381,0.0005823967,0.0001684135],"domain_scores_gemma":[0.9977146,0.0003574272,0.0001221531,0.0003957922,0.0009608378,0.0004491246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002772333,0.000201624,0.0005976944,0.00023341,0.0000173697,0.0000912305,0.00005667652,0.0003168051,0.01796454,0.001650636,0.8969021,0.0816907],"study_design_scores_gemma":[0.0001449131,0.00009485705,0.001371356,0.00005490031,0.00002159153,0.00009307488,0.00005409407,0.001360031,0.02104292,0.002170446,0.9735598,0.00003203608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01338407,0.001483231,0.1370298,0.007828013,0.005389755,0.002128752,0.4170157,0.1864562,0.2292846],"genre_scores_gemma":[0.01436176,0.001087667,0.121034,0.001837819,0.0005000578,0.001364302,0.6569324,0.03441826,0.1684638],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1376602,"threshold_uncertainty_score":0.4605194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05429681698839817,"score_gpt":0.328703277916031,"score_spread":0.2744064609276328,"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."}}