{"id":"W6949136544","doi":"10.5281/zenodo.11342246","title":"Neurotrichus gibbsii","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Table (database); Chorology; IUCN Red List; Vernacular","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":[0.00004755337,0.0003857625,0.0001717727,0.0005833952,0.0006722871,0.0002228813,0.0002206682,0.0002202661,0.007154502],"category_scores_gemma":[0.0001692645,0.0001280689,0.00007795506,0.0003558329,0.0003039232,0.0004686434,0.0006029161,0.0002140687,0.002192578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005131889,"about_ca_system_score_gemma":0.0002594549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01736687,"about_ca_topic_score_gemma":0.0560214,"domain_scores_codex":[0.9999408,0.000005223772,0.000003916726,0.00002177078,0.00001966086,0.000008660661],"domain_scores_gemma":[0.9999431,0.000006275348,0.00002494099,0.000005116937,0.000009789554,0.00001074105],"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":[0.0004537235,0.0001294342,0.1284965,0.0008767679,0.00008537334,0.00286857,0.002914613,0.0006441654,0.08631844,0.006194545,0.03378336,0.7372345],"study_design_scores_gemma":[0.00003226647,0.0002166427,0.7138616,0.0002241678,0.00009160464,0.008376758,0.000839191,0.0004007253,0.004856828,0.001705946,0.2693662,0.00002817291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7868572,0.02210633,0.00455859,0.0008786154,0.0005241416,0.0002010801,0.002011757,0.0005063349,0.1823559],"genre_scores_gemma":[0.9570412,0.004259856,0.003471585,0.0005915102,0.000125856,0.00004230711,0.001265964,0.00002440761,0.03317725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01736687,"threshold_uncertainty_score":0.03453159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059565208179417,"score_gpt":0.2204689289821175,"score_spread":0.1898732769003233,"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."}}