{"id":"W6893105843","doi":"10.5281/zenodo.14597132","title":"Cremnomymar sagittifer","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Holotype; Power (physics); Term (time)","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":[0.00009600798,0.0003765885,0.0001825569,0.001053923,0.0006707953,0.0001554053,0.0004278225,0.0002343281,0.0116253],"category_scores_gemma":[0.0001819919,0.00009211802,0.00009149086,0.0006089964,0.0002452834,0.0004615852,0.0005325837,0.0002182887,0.003342022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004021571,"about_ca_system_score_gemma":0.0001955717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01756385,"about_ca_topic_score_gemma":0.04476375,"domain_scores_codex":[0.9999305,0.000006137999,0.000004035326,0.00002608024,0.00001679115,0.00001641939],"domain_scores_gemma":[0.9999057,0.000007271821,0.00003600645,0.00001051231,0.0000292984,0.00001113536],"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":[0.0008067434,0.000229085,0.09190045,0.0006567324,0.00007091776,0.003268593,0.003386382,0.0004718646,0.1517949,0.003427063,0.02818791,0.7157993],"study_design_scores_gemma":[0.00004326151,0.0004395554,0.695438,0.000289884,0.0000738272,0.006571615,0.002523067,0.0003161154,0.009062425,0.0005953018,0.284618,0.00002899841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7885379,0.002727441,0.001925614,0.000357734,0.0001199605,0.0002470304,0.003694459,0.0004537046,0.2019363],"genre_scores_gemma":[0.962535,0.0009814925,0.001430376,0.000340934,0.00002670078,0.0001075374,0.002601012,0.00004024759,0.03193669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756385,"threshold_uncertainty_score":0.03889054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199488519864202,"score_gpt":0.2315589240343859,"score_spread":0.2116100720479657,"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."}}