{"id":"W6949451474","doi":"10.5281/zenodo.14597203","title":"Lymaenon litoralis","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Population; Context (archaeology); Indian ocean","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":[0.00007872151,0.0004856708,0.0002111893,0.0008938033,0.0009246719,0.0003612505,0.0002220428,0.0003009843,0.0112638],"category_scores_gemma":[0.0001855377,0.0001650699,0.00008838986,0.0004083104,0.0002939698,0.0005194786,0.0007164556,0.0003674295,0.0035959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004292342,"about_ca_system_score_gemma":0.0002800104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007943636,"about_ca_topic_score_gemma":0.01651382,"domain_scores_codex":[0.9999211,0.00001122604,0.000006567075,0.00002055093,0.00001860429,0.00002194188],"domain_scores_gemma":[0.9999218,0.000007884789,0.00003000265,0.000005218918,0.00001740718,0.00001766255],"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":[0.0007484308,0.0002955745,0.1475221,0.001464124,0.00007174101,0.004116351,0.004702814,0.0003140819,0.0766542,0.003025813,0.03757386,0.7235109],"study_design_scores_gemma":[0.0000670151,0.0004816152,0.624923,0.000793163,0.00009483191,0.01008534,0.003935602,0.0002604992,0.004397655,0.001004648,0.3539135,0.000043207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6425505,0.02558255,0.002517075,0.001213281,0.0004049132,0.0003639603,0.002869191,0.0008087301,0.3236898],"genre_scores_gemma":[0.9528607,0.006574003,0.001748121,0.0009013173,0.0001066868,0.00011074,0.001262369,0.00002024822,0.03641585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112638,"threshold_uncertainty_score":0.0376811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393968845169376,"score_gpt":0.2297414501428502,"score_spread":0.2058017616911565,"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."}}