{"id":"W6893203292","doi":"10.5281/zenodo.15357498","title":"Dolichogenidea bushnelli","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Parks Canada","funders":"","keywords":"Key (lock); State (computer science); Natural (archaeology); Table (database)","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":[0.00006832527,0.0004923435,0.0002403388,0.001038339,0.001195131,0.0003098368,0.0003589285,0.0002380943,0.02720621],"category_scores_gemma":[0.0002577254,0.0001415234,0.00009980232,0.0007506347,0.0005207977,0.000808698,0.0007708648,0.000426334,0.004527215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007227269,"about_ca_system_score_gemma":0.0005359759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01577702,"about_ca_topic_score_gemma":0.03214741,"domain_scores_codex":[0.9999326,0.000005310608,0.000005005679,0.00001715509,0.00002249933,0.00001734384],"domain_scores_gemma":[0.9999201,0.00001133054,0.00002134213,0.000005958021,0.00002325281,0.00001805072],"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":[0.0005143853,0.0001015264,0.03134536,0.0008040594,0.00005131878,0.0005411805,0.001172415,0.0006012615,0.03087451,0.01317756,0.04102037,0.8797961],"study_design_scores_gemma":[0.00008685291,0.0001972734,0.26936,0.0004692155,0.00007088708,0.004913763,0.001455743,0.0008942446,0.00380625,0.003645632,0.7150414,0.0000588765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3027602,0.01825236,0.008706453,0.000774983,0.0005235382,0.0005393927,0.006533119,0.001030563,0.6608794],"genre_scores_gemma":[0.9112147,0.008132941,0.00860358,0.000527279,0.0001360196,0.000149703,0.002502521,0.00009340001,0.0686399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02720621,"threshold_uncertainty_score":0.09101385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470682208352425,"score_gpt":0.2354066525801048,"score_spread":0.2106998304965806,"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."}}