{"id":"W6967878098","doi":"10.5281/zenodo.10622543","title":"Nesiophasma kuehni","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mollusks and Parasites Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0001771732,0.0006575765,0.000497654,0.00222544,0.001232737,0.0004132988,0.0008395791,0.0007159024,0.03319652],"category_scores_gemma":[0.000379528,0.000323287,0.0002878261,0.001006234,0.0009218138,0.001125686,0.001392,0.001077491,0.01801378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517887,"about_ca_system_score_gemma":0.0003725423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007046762,"about_ca_topic_score_gemma":0.01393114,"domain_scores_codex":[0.9997647,0.0000157917,0.00002449164,0.00007806732,0.00007972095,0.00003726115],"domain_scores_gemma":[0.9998614,0.00001624575,0.00005627744,0.00001489427,0.00003632768,0.00001490456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007017468,0.0001731144,0.02073682,0.001933109,0.00006814305,0.00428296,0.002161153,0.0007551007,0.02164599,0.008086371,0.04476824,0.8946872],"study_design_scores_gemma":[0.00009709401,0.0002818636,0.1782004,0.0008849051,0.0001490509,0.01068677,0.001726953,0.000628081,0.005477468,0.002816585,0.7990051,0.00004585386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.128479,0.02665346,0.005881627,0.002039339,0.002366525,0.001378893,0.01046803,0.000657781,0.8220754],"genre_scores_gemma":[0.8487056,0.01058691,0.01461112,0.001230986,0.0008448083,0.0005273636,0.01019489,0.00017936,0.1131189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03319652,"threshold_uncertainty_score":0.1110535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06471960051674783,"score_gpt":0.2479989326569984,"score_spread":0.1832793321402506,"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."}}