{"id":"W6912496087","doi":"10.5281/zenodo.4689380","title":"Latreillia metanesa Williams 1982","year":2003,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Holotype; Type (biology); Paratype; Soviet union","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":[0.000193148,0.000884691,0.0003416691,0.00167866,0.002340655,0.0008200599,0.001052085,0.0007720315,0.03183075],"category_scores_gemma":[0.0005929733,0.0004335328,0.0003628314,0.0006839806,0.0005443733,0.002247051,0.002002084,0.001423637,0.01375948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008844399,"about_ca_system_score_gemma":0.0003787911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005271781,"about_ca_topic_score_gemma":0.01952659,"domain_scores_codex":[0.9996825,0.00003555199,0.00003383732,0.0000831428,0.0001149655,0.0000499922],"domain_scores_gemma":[0.9997262,0.00002681399,0.00008354322,0.00003640691,0.0001022094,0.00002469964],"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":[0.000380052,0.0001570278,0.01607495,0.0009470868,0.00008177459,0.002915532,0.002157524,0.0004854185,0.05261619,0.01289776,0.04435382,0.8669329],"study_design_scores_gemma":[0.00002668649,0.0001165376,0.04108927,0.0005432092,0.00004941721,0.003224831,0.0008180295,0.000244883,0.005037466,0.001519457,0.9472993,0.00003098806],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1112005,0.01308081,0.006812289,0.001302851,0.001173419,0.0005028934,0.00265118,0.0006576641,0.8626184],"genre_scores_gemma":[0.7288103,0.006208202,0.007956808,0.001426295,0.0004037326,0.0003689253,0.003198644,0.0003023765,0.2513247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03183075,"threshold_uncertainty_score":0.1064845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559370802816878,"score_gpt":0.2021228466116397,"score_spread":0.1765291385834709,"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."}}