{"id":"W2553407139","doi":"10.1016/j.cryobiol.2016.09.086","title":"Generation and characterization of ice-binding protein knockdown in a model crop","year":2016,"lang":"en","type":"article","venue":"Cryobiology","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Gene knockdown; Characterization (materials science); Crop; Computational biology; Chemistry; Environmental science; Nanotechnology; Biology; Agronomy; Materials science; Biochemistry; Gene","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":[0.0002833245,0.0004391506,0.0004755065,0.0003462298,0.0003869547,0.0004012687,0.0005042802,0.0005603076,0.001509714],"category_scores_gemma":[0.0002382567,0.0002973441,0.0003658308,0.0002174287,0.0004230774,0.0003888805,0.0003748694,0.0011699,0.0005634994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005823228,"about_ca_system_score_gemma":0.0002732234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161207,"about_ca_topic_score_gemma":0.00355029,"domain_scores_codex":[0.9997954,0.00001471919,0.00001967696,0.00007901379,0.00005637449,0.00003483811],"domain_scores_gemma":[0.9996731,0.00008272228,0.00007824651,0.00004778859,0.0000499576,0.00006810614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001825783,0.00001196501,0.00004845178,0.00001189198,0.000002521187,0.00002431492,0.00001539142,0.00004461021,0.9995565,0.00006956811,0.00002218864,0.0001743668],"study_design_scores_gemma":[0.00001593885,0.000103793,0.002690424,0.000004376785,0.00002164781,0.000102678,0.00004897078,0.00185375,0.9916382,0.00005902049,0.003453221,0.00000800433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373096,0.0007218806,0.05345441,0.000333683,0.0001486515,0.0005118139,0.003916143,0.0004332963,0.003170597],"genre_scores_gemma":[0.9443009,0.0006741534,0.02817857,0.0002780161,0.0000199858,0.000599968,0.004596886,0.0006050545,0.02074646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002161207,"threshold_uncertainty_score":0.00505054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034967822637142,"score_gpt":0.2256161838449952,"score_spread":0.2152665056186238,"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."}}