{"id":"W6931466964","doi":"10.5281/zenodo.6132502","title":"Cliona lobata Hancock 1849","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shore; Lobata; Sieve (category theory); Smooth surface","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":[0.0001561352,0.0005592542,0.000316433,0.001616054,0.001673105,0.000757338,0.0005905168,0.0005563152,0.02664928],"category_scores_gemma":[0.0003621351,0.0001952539,0.0001271068,0.001015578,0.0007011065,0.000944059,0.0009682287,0.0003305054,0.006421455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102144,"about_ca_system_score_gemma":0.000424335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211773,"about_ca_topic_score_gemma":0.02219024,"domain_scores_codex":[0.9998623,0.00001374641,0.000008416773,0.00004964085,0.00003787896,0.00002794221],"domain_scores_gemma":[0.9999013,0.0000209414,0.00002656989,0.00000989819,0.00002825503,0.00001307296],"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":[0.0004666677,0.0001392514,0.07693448,0.001285658,0.0001121847,0.004824877,0.003456204,0.001495845,0.01383966,0.01201386,0.09972539,0.785706],"study_design_scores_gemma":[0.00007619039,0.0001254759,0.1737331,0.0005516961,0.00006307194,0.003977443,0.001362107,0.0003505767,0.0009805198,0.001620016,0.8171231,0.00003677695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1864393,0.02139313,0.002564754,0.0006224378,0.0004984743,0.0003909787,0.002269265,0.000677129,0.7851446],"genre_scores_gemma":[0.9003525,0.004811625,0.001505753,0.001023313,0.0002580499,0.000201352,0.002329116,0.00007364457,0.08944464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02664928,"threshold_uncertainty_score":0.08915067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815771310741739,"score_gpt":0.2706009940228726,"score_spread":0.2324432809154552,"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."}}