{"id":"W3209982428","doi":"","title":"Pre-COSEWIC assessment of the Wavyrayed Lampmussel (Lampsilis fasciola)","year":2009,"lang":"en","type":"article","venue":"","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fasciola; Fasciola hepatica; Biology; Helminths; Zoology","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":[0.0001648647,0.0003140386,0.0001074037,0.0008319422,0.0002743296,0.0002029006,0.0001766338,0.0003371215,0.001921227],"category_scores_gemma":[0.0002979005,0.0001495986,0.0001261247,0.0001556089,0.0003460495,0.0003363876,0.0003341495,0.0002937616,0.0004881979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785212,"about_ca_system_score_gemma":0.0002137881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001385875,"about_ca_topic_score_gemma":0.002719939,"domain_scores_codex":[0.9999344,0.000007474744,0.000004529137,0.00001672453,0.00002053334,0.00001627673],"domain_scores_gemma":[0.9998047,0.00002674583,0.00004609602,0.00001523942,0.0000630431,0.00004413101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004845341,0.00007126215,0.03142634,0.0001029397,0.00001916192,0.003288119,0.0002081632,0.0001611027,0.9493005,0.0001507977,0.0001036544,0.0146834],"study_design_scores_gemma":[0.00002199646,0.002603737,0.6061116,0.00006660732,0.0001038141,0.03185149,0.001688007,0.001892644,0.3492599,0.0003902793,0.00596641,0.00004351326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993972,0.0004817706,0.002330382,0.0000280511,0.00001724117,0.00003954214,0.0001093684,0.00004379622,0.002977832],"genre_scores_gemma":[0.9961724,0.0002184944,0.001470489,0.00003449449,0.000004481618,0.00001023556,0.00009698976,0.000007460269,0.001985082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9986141,"threshold_uncertainty_score":0.006427169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004725464455849864,"score_gpt":0.2269185393532802,"score_spread":0.2221930748974303,"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."}}