{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004967165,0.0001285874,0.0001105464,0.0002084494,0.001322146,0.00212428,0.0005088702,0.00006289664,0.08444531],"category_scores_gemma":[0.0001866277,0.0001291318,0.00005480342,0.0005186573,0.00009135452,0.0004850685,0.0003911613,0.0001697905,0.04492698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345012,"about_ca_system_score_gemma":0.000005313683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000101079,"about_ca_topic_score_gemma":2.233438e-7,"domain_scores_codex":[0.9985018,0.0001934995,0.0002438845,0.0004192745,0.0003446488,0.0002969035],"domain_scores_gemma":[0.9992161,0.00002256433,0.00005402335,0.000316954,0.0002407171,0.0001496692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003557306,0.00007289137,7.493562e-7,0.00009104596,0.00001398338,0.00004924133,0.001093367,0.00002055316,0.7459082,0.005306075,0.1439209,0.1034874],"study_design_scores_gemma":[0.0001387382,0.00007721338,0.0003067798,0.00004121177,0.00001079896,0.0001833942,0.0001407474,0.0009876617,0.02038862,0.0001168986,0.9774509,0.0001570084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5777202,0.0005952937,0.04052261,0.005183541,0.003074247,0.001158517,0.0009340379,0.008434849,0.3623767],"genre_scores_gemma":[0.9924709,0.0000637914,0.0001921198,0.000202333,0.0003616418,6.192254e-8,0.0008410354,0.000813145,0.005055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.83353,"threshold_uncertainty_score":0.999978,"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."}}