{"id":"W6968243363","doi":"10.5281/zenodo.15218742","title":"Spiriverpa cinerascens","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":"Royal British Columbia Museum","funders":"","keywords":"Habitat; South carolina; Columbia university; Vegetation (pathology); Endangered species; Biodiversity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00010707,0.0004124596,0.0002170878,0.000796169,0.0005171201,0.0002377966,0.0002480217,0.000205125,0.01250294],"category_scores_gemma":[0.0001748072,0.0001605434,0.0001312083,0.0002971837,0.0001047414,0.0004243467,0.0003689022,0.0003711025,0.004098389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244983,"about_ca_system_score_gemma":0.0001396273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007985773,"about_ca_topic_score_gemma":0.02453459,"domain_scores_codex":[0.9999105,0.000009626021,0.000007916926,0.00003680559,0.00002184281,0.00001338076],"domain_scores_gemma":[0.9998679,0.00002069364,0.00003119692,0.0000127251,0.00004041357,0.00002703857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001518317,0.0005355857,0.04395569,0.002123124,0.00009221613,0.003799978,0.001917308,0.0003109263,0.5832886,0.000893524,0.04281609,0.3187485],"study_design_scores_gemma":[0.00009813906,0.001097736,0.7351819,0.0005084436,0.000103962,0.005218164,0.002098911,0.0003931613,0.03135424,0.000368038,0.2235377,0.00003954957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7211598,0.00579776,0.002104276,0.0006009486,0.0002253498,0.0005722877,0.02561288,0.0006977129,0.243229],"genre_scores_gemma":[0.9463771,0.001533384,0.002076801,0.0006811776,0.00003539794,0.000126776,0.01027326,0.00004273717,0.03885338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01250294,"threshold_uncertainty_score":0.04182649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243217301699708,"score_gpt":0.2670558721629318,"score_spread":0.242734141992961,"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."}}