{"id":"W6949024812","doi":"10.5281/zenodo.15219771","title":"Phaenoserphus viator","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Work (physics); Natural (archaeology); Accession","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":[0.0001232141,0.0005106104,0.0002516557,0.001232363,0.001046853,0.0002638371,0.0003379018,0.0003297636,0.01688046],"category_scores_gemma":[0.0003119778,0.0002296277,0.0001573938,0.0004945806,0.0004746814,0.0007222425,0.000838963,0.0002858805,0.0047464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003211459,"about_ca_system_score_gemma":0.0003703878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00418031,"about_ca_topic_score_gemma":0.01032598,"domain_scores_codex":[0.9998325,0.00001767456,0.0000146126,0.00007730129,0.00004048605,0.00001730542],"domain_scores_gemma":[0.9999191,0.00001764969,0.00002649132,0.00001476262,0.00001379912,0.000008291464],"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":[0.001196238,0.0001734874,0.07266659,0.001572145,0.0001002837,0.003147157,0.004134982,0.0008893902,0.1213493,0.008954299,0.01784214,0.7679739],"study_design_scores_gemma":[0.0001126198,0.0008127441,0.6824394,0.0004148026,0.0002170708,0.012836,0.001999295,0.000731183,0.009711151,0.001388677,0.2892833,0.00005364958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6145689,0.005023991,0.004613871,0.0003032502,0.0004566199,0.0004838284,0.002626678,0.0007501249,0.3711728],"genre_scores_gemma":[0.9439651,0.002066663,0.004595365,0.0002177878,0.0001544095,0.0001713703,0.002297323,0.00004094705,0.04649104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01688046,"threshold_uncertainty_score":0.05647075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414270616923741,"score_gpt":0.2231030042825915,"score_spread":0.1989602981133541,"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."}}