{"id":"W6950417480","doi":"10.5281/zenodo.6580317","title":"Pelecocera","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Vertex (graph theory); Bristle; Seta; Occiput; Appendage","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007951563,0.00006902219,0.00006416294,0.00006808867,0.003399367,0.0001830374,0.0006038906,0.00001475109,0.479099],"category_scores_gemma":[0.0001405734,0.00007689281,0.00003421976,0.0005078602,0.00007837836,0.0001112781,0.002659963,0.0002256484,0.01001069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148065,"about_ca_system_score_gemma":6.249232e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004283614,"about_ca_topic_score_gemma":2.746326e-7,"domain_scores_codex":[0.9986573,0.0003804428,0.0001229363,0.0002743858,0.0003479741,0.0002169404],"domain_scores_gemma":[0.9995415,0.00001088295,0.00004777162,0.0002742388,0.00002260192,0.0001030524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004956477,0.0001401073,0.00004270543,0.000006926391,0.000009848027,0.00001226424,0.0005460655,0.00175976,0.009975623,0.001223946,0.4369589,0.5492743],"study_design_scores_gemma":[0.000177352,0.0001697164,0.001812843,4.738692e-7,0.0000027179,0.0001127609,0.000129546,0.0009328278,0.0002334759,0.0002893849,0.9960437,0.0000952237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06294221,0.00001278682,0.006557317,0.0006276091,0.0001425769,0.0002523286,0.00005500457,0.0006756969,0.9287345],"genre_scores_gemma":[0.9830052,0.00001350093,0.002016009,0.0005606036,0.00009086131,9.574019e-8,0.0002867938,0.0009473179,0.01307965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.920063,"threshold_uncertainty_score":0.997898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624758104325131,"score_gpt":0.2428788606572536,"score_spread":0.2166312796140023,"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."}}