{"id":"W6949184401","doi":"10.5281/zenodo.14019544","title":"Piona carnea","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural enemies; Cluster (spacecraft); Taxonomy (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001752371,0.0008904324,0.0003722967,0.001594739,0.002529144,0.0006824733,0.000462399,0.0005759567,0.02089565],"category_scores_gemma":[0.0005516089,0.0002932738,0.0002641469,0.0006748845,0.000737895,0.001192992,0.001240429,0.0005980517,0.006655608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145157,"about_ca_system_score_gemma":0.0005781744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389257,"about_ca_topic_score_gemma":0.03585327,"domain_scores_codex":[0.9997305,0.00002670883,0.0000197461,0.0001232787,0.00006634068,0.00003336029],"domain_scores_gemma":[0.999777,0.00003621553,0.00008515533,0.00002570226,0.00004191757,0.00003399033],"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":[0.001369674,0.0002329634,0.05529521,0.002617645,0.0002043549,0.005803245,0.005331287,0.001351652,0.0631258,0.01585976,0.03972127,0.8090872],"study_design_scores_gemma":[0.0001021616,0.0004463752,0.313527,0.00114382,0.0002547071,0.01559401,0.002483598,0.0004607187,0.003637589,0.003246608,0.6590211,0.00008242619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3730153,0.03846392,0.008360188,0.00178766,0.001134821,0.0007267212,0.008790167,0.00162019,0.566101],"genre_scores_gemma":[0.8842047,0.007300169,0.01066675,0.001751471,0.0002385127,0.0002093055,0.003499748,0.00009053274,0.09203871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02089565,"threshold_uncertainty_score":0.06990296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277850488960503,"score_gpt":0.2403454560515778,"score_spread":0.2075669511619728,"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."}}