{"id":"W4200208899","doi":"10.1017/s1551929521001334","title":"Out of the Blue and into the Black: Preparation, Mounting, and Image Rendering of Complex, Chorate Dinoflagellate Cysts for Scanning Electron Microscopy","year":2021,"lang":"en","type":"article","venue":"Microscopy Today","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Dinoflagellate; Scanning electron microscope; Rendering (computer graphics); Materials science; Art; Computer science; Biology; Computer graphics (images); Composite material; Botany","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":[0.0003747874,0.000415448,0.0001381356,0.0003665633,0.0004121275,0.0004925449,0.0003973048,0.0003011576,0.003902085],"category_scores_gemma":[0.0004920461,0.000371278,0.0001171395,0.0001636481,0.0003809124,0.0003691176,0.0004978328,0.0004554589,0.0007535632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164529,"about_ca_system_score_gemma":0.0003495236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006314423,"about_ca_topic_score_gemma":0.002535305,"domain_scores_codex":[0.9998999,0.00001429429,0.00001000743,0.00002368067,0.00003523968,0.00001682554],"domain_scores_gemma":[0.9997563,0.00006963925,0.00004106929,0.00005731258,0.00004165839,0.00003394897],"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":[0.00005449341,0.00001147722,0.0003184348,0.00004683705,0.000002377513,0.000080333,0.00004023276,0.0001511621,0.9921165,0.0001588576,0.00009719487,0.00692217],"study_design_scores_gemma":[0.0000280359,0.0002104398,0.0131351,0.00003246371,0.0000158905,0.001550303,0.0001030453,0.005306684,0.9684521,0.0002542184,0.01088892,0.00002273808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7550262,0.0006742547,0.2341348,0.0003069379,0.0001280793,0.0003886234,0.0003660503,0.001190375,0.007784663],"genre_scores_gemma":[0.5055609,0.0007961394,0.4875138,0.00008857389,0.00004150824,0.000193207,0.0005080434,0.0008674784,0.004430344],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003902085,"threshold_uncertainty_score":0.01305377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180186663774101,"score_gpt":0.3096166285556503,"score_spread":0.2978147619179093,"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."}}