{"id":"W1444044366","doi":"","title":"Development of amplified fragment length polymorphism and its applications in honeybee research.","year":2009,"lang":"en","type":"article","venue":"Kunchong zhishi","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Biology; Polymorphism (computer science); Amplified fragment length polymorphism; Genetics; Restriction fragment length polymorphism; Biotechnology; Evolutionary biology; Genotype; Gene; Genetic diversity","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":[0.00439967,0.0007696567,0.0008864939,0.002987213,0.0003817256,0.0009759765,0.0009201623,0.001042059,0.001593072],"category_scores_gemma":[0.003694882,0.0006862787,0.0008257063,0.001766877,0.0006991915,0.0008883342,0.0006289866,0.001639647,0.00103646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948177,"about_ca_system_score_gemma":0.0008088332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009201015,"about_ca_topic_score_gemma":0.00220257,"domain_scores_codex":[0.996552,0.001476341,0.0001840506,0.001069251,0.0005799167,0.0001384153],"domain_scores_gemma":[0.9973372,0.001242965,0.000354932,0.0001804417,0.000606731,0.0002778522],"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":[0.0006094648,0.0003798837,0.02003041,0.0008254079,0.0002817124,0.0002667633,0.0002627522,0.0007481528,0.7307363,0.002933375,0.0007114793,0.2422144],"study_design_scores_gemma":[0.0003929867,0.005390605,0.1318926,0.0005156436,0.001936315,0.003141352,0.0008123968,0.02551114,0.7487567,0.005694453,0.07563647,0.0003193357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2975165,0.04241498,0.6293002,0.001537765,0.0009103945,0.0016865,0.005587244,0.001281897,0.01976444],"genre_scores_gemma":[0.2665476,0.01152285,0.7125174,0.0005284881,0.0001796298,0.001251644,0.002541564,0.00009372125,0.004817176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00439967,"threshold_uncertainty_score":0.02326798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0947594442524097,"score_gpt":0.327321307656665,"score_spread":0.2325618634042552,"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."}}