{"id":"W4247020980","doi":"10.1016/j.ydbio.2007.03.450","title":"FACS-assisted microdissection of early zebrafish embryos for transcriptional profiling and cell behavioral studies","year":2007,"lang":"en","type":"article","venue":"Developmental Biology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biology; Zebrafish; Microdissection; Embryo; Profiling (computer programming); Laser capture microdissection; Cell biology; Computational biology; Genetics; Gene; Gene expression; 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":[0.0004556632,0.0008265458,0.0007174128,0.001037481,0.001535297,0.0004934432,0.0008951161,0.0007597035,0.01125595],"category_scores_gemma":[0.0003108715,0.0006106689,0.0007307498,0.0007477903,0.0006951745,0.0005328222,0.0004233412,0.002216106,0.004142093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009689669,"about_ca_system_score_gemma":0.001167873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007690656,"about_ca_topic_score_gemma":0.03021098,"domain_scores_codex":[0.999598,0.00002326974,0.00003149234,0.0001059524,0.0001126275,0.0001288205],"domain_scores_gemma":[0.9996762,0.00009532391,0.00004183436,0.00006148279,0.00007486999,0.00005033604],"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":[0.00004445686,0.00001655599,0.00007594795,0.00004318706,0.000004740138,0.00003741369,0.00004125007,0.00006577759,0.9977947,0.0004161652,0.0003012854,0.001158445],"study_design_scores_gemma":[0.00006640358,0.00008575415,0.006510495,0.00002568857,0.00002773782,0.0002032178,0.00006324122,0.001397173,0.9768044,0.000541464,0.01425583,0.00001870004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4351691,0.003735048,0.4460071,0.002281277,0.001025798,0.00492369,0.05367763,0.005036965,0.04814333],"genre_scores_gemma":[0.4923821,0.004937348,0.3904226,0.002017086,0.0002740179,0.008958468,0.02924548,0.002768578,0.06899427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01125595,"threshold_uncertainty_score":0.03765488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272333156789655,"score_gpt":0.3296704968322808,"score_spread":0.2969471652643842,"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."}}