{"id":"W6930873238","doi":"10.5281/zenodo.14597022","title":"Agalmopolynema calyptera Fidalgo 1988","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Distribution (mathematics); Holotype; Noise (video); Extensional definition","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":[0.0001102461,0.0004851475,0.0003080771,0.001404616,0.001076465,0.0003473425,0.0005967859,0.0005511073,0.009211511],"category_scores_gemma":[0.000403451,0.0002162257,0.0001416147,0.0009680516,0.000411248,0.000627781,0.0006352845,0.0008039024,0.003053775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659075,"about_ca_system_score_gemma":0.0005945902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04796552,"about_ca_topic_score_gemma":0.1223218,"domain_scores_codex":[0.9998314,0.00001013586,0.000009338237,0.00006029268,0.00006403742,0.00002480736],"domain_scores_gemma":[0.9997984,0.00002030651,0.0000715545,0.00001606984,0.0000696263,0.00002418158],"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":[0.0007715334,0.00009411623,0.0657174,0.001099603,0.0000667552,0.002692364,0.001923032,0.000849499,0.09627329,0.007614438,0.07564714,0.7472509],"study_design_scores_gemma":[0.00006189173,0.00007443756,0.4649965,0.000322726,0.00006322189,0.003236159,0.0006291311,0.0002750847,0.003865908,0.0007651144,0.5256878,0.0000219656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4461645,0.01733836,0.01026602,0.001922056,0.000921931,0.001038072,0.01946761,0.0008244558,0.5020569],"genre_scores_gemma":[0.8659632,0.005805939,0.0138895,0.0007831218,0.0001775069,0.000459166,0.01106817,0.000129608,0.1017237],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04796552,"threshold_uncertainty_score":0.09537268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787526709637455,"score_gpt":0.2551653264343694,"score_spread":0.2272900593379948,"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."}}