{"id":"W6968459744","doi":"10.5281/zenodo.14812256","title":"Spilogona depressula","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Larch; Series (stratigraphy); National nature reserve; Nature reserve; Nearctic ecozone","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":[0.0001464035,0.0008480347,0.0003601254,0.00128409,0.001073706,0.000361843,0.0006798176,0.0004580833,0.009898812],"category_scores_gemma":[0.0003690165,0.0002850914,0.0002672486,0.0003942895,0.0003995537,0.001089731,0.0007486252,0.0005018418,0.003862664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005456975,"about_ca_system_score_gemma":0.0003510226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004252248,"about_ca_topic_score_gemma":0.01151001,"domain_scores_codex":[0.999866,0.00001160264,0.00001337646,0.00005511172,0.00003371718,0.00002013143],"domain_scores_gemma":[0.9998845,0.00001983593,0.00004766295,0.00001062241,0.00002653566,0.00001083884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005709771,0.0001886808,0.03232014,0.002415905,0.0001035477,0.00616925,0.002814192,0.001608752,0.1041737,0.007974091,0.04078811,0.8008727],"study_design_scores_gemma":[0.0001558392,0.0005665464,0.3353398,0.0009692804,0.0001828689,0.01261422,0.001783606,0.0009195679,0.007141868,0.002448372,0.6378118,0.00006618298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5805047,0.0336249,0.007890681,0.000943865,0.001368781,0.0007269984,0.007042834,0.001121519,0.3667757],"genre_scores_gemma":[0.9544481,0.003768841,0.004274142,0.0008510845,0.0002239824,0.000155963,0.002273323,0.00004282234,0.03396178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009898812,"threshold_uncertainty_score":0.03311485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510212543072286,"score_gpt":0.2667465223351341,"score_spread":0.2416443969044113,"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."}}