{"id":"W6930587155","doi":"10.5281/zenodo.13729070","title":"Navicula kariana var. frigida Cleve 1895","year":2018,"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":"Arctic; The arctic; Navicula; Taxonomy (biology); Seta","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":[0.0001076347,0.0006395924,0.0003926994,0.001540138,0.00128716,0.0004890642,0.0006672607,0.0004140754,0.01139413],"category_scores_gemma":[0.0005060483,0.0002034056,0.0001794799,0.0009856396,0.0005421495,0.0007552087,0.001146225,0.0003036385,0.003373345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213377,"about_ca_system_score_gemma":0.0005403262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07267219,"about_ca_topic_score_gemma":0.1524235,"domain_scores_codex":[0.9998543,0.00001364812,0.000008981659,0.00004819722,0.00004334055,0.00003143163],"domain_scores_gemma":[0.9998521,0.00002225041,0.00005964958,0.00001366687,0.00003258375,0.00001990487],"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":[0.0005249596,0.00009508641,0.09031263,0.0009342463,0.0001212697,0.005524294,0.002656194,0.001446364,0.02640851,0.003280237,0.02854844,0.8401478],"study_design_scores_gemma":[0.00007967081,0.0001749823,0.5578728,0.00055968,0.00009008904,0.009606286,0.001298805,0.0006029541,0.001476884,0.001119162,0.4270627,0.00005586639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5937765,0.02901317,0.003360547,0.0007954017,0.0005813207,0.0003469067,0.004292972,0.0008079506,0.3670253],"genre_scores_gemma":[0.9696916,0.004374355,0.001529608,0.000273462,0.00008377482,0.00006478575,0.001450046,0.00003032489,0.02250208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07267219,"threshold_uncertainty_score":0.1444984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137459651393126,"score_gpt":0.266883843153676,"score_spread":0.2355092466397447,"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."}}