{"id":"W6968851804","doi":"10.5281/zenodo.3790589","title":"Alisalia testacea Casey 1911","year":2009,"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":"Canadian Forest Service; Natural Resources Canada","funders":"","keywords":"Nearctic ecozone; Paratype; Holotype; Aedeagus; Plant litter","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":[0.0001756104,0.0007045513,0.0003431835,0.001659873,0.002140361,0.0006355304,0.001090262,0.0009817001,0.03798235],"category_scores_gemma":[0.000930967,0.0002391071,0.0003532073,0.001292319,0.001060355,0.001345063,0.001400788,0.0008901301,0.008131405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223111,"about_ca_system_score_gemma":0.000377191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785066,"about_ca_topic_score_gemma":0.02572756,"domain_scores_codex":[0.9995922,0.00003275541,0.0000286026,0.0001435326,0.0001461754,0.00005667361],"domain_scores_gemma":[0.9996959,0.0000390231,0.000133694,0.00003575446,0.00007437848,0.00002128402],"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":[0.0002677488,0.0001397128,0.03219087,0.0008852464,0.00006488345,0.005338496,0.00223179,0.0008025031,0.01209431,0.01188031,0.1288381,0.805266],"study_design_scores_gemma":[0.00005335258,0.0001231099,0.08403249,0.0006165364,0.00006566411,0.005951306,0.00102905,0.0003409065,0.001735026,0.002352937,0.9036786,0.00002104206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1012426,0.01443636,0.004231139,0.002062686,0.001968347,0.0007521511,0.004393569,0.0005577899,0.8703554],"genre_scores_gemma":[0.9022138,0.00450953,0.00609246,0.002641282,0.0008100656,0.0002675007,0.003227941,0.0001124222,0.08012503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03798235,"threshold_uncertainty_score":0.1270636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03486896033089938,"score_gpt":0.2676144303300951,"score_spread":0.2327454699991958,"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."}}