{"id":"W6912488831","doi":"10.5281/zenodo.3866794","title":"Megaphyllum brachyurum","year":2017,"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":"BC Research (Canada)","funders":"","keywords":"Subspecies; Fauna; Habitat; Black sea; Far East","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":[0.00007047207,0.0003734156,0.0002128792,0.000964736,0.000619831,0.0001626438,0.0004115223,0.0002135517,0.01025945],"category_scores_gemma":[0.0001945844,0.0001839541,0.0001993425,0.0004679661,0.0001656384,0.0003334542,0.000562157,0.0001948542,0.004827687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428975,"about_ca_system_score_gemma":0.0001353033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003354762,"about_ca_topic_score_gemma":0.007749719,"domain_scores_codex":[0.9999244,0.000009887399,0.000006330718,0.00002547941,0.00001936149,0.00001460934],"domain_scores_gemma":[0.9998932,0.00001244897,0.00005163848,0.00001081053,0.0000156253,0.00001634867],"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":[0.0004934351,0.0001038657,0.08586229,0.001197716,0.0001182498,0.00247938,0.001282507,0.0006052373,0.3211151,0.003107037,0.01105119,0.572584],"study_design_scores_gemma":[0.0000279404,0.0003302043,0.7749723,0.0001812481,0.00007138738,0.00614028,0.0005279385,0.0003805744,0.008800402,0.0003724918,0.2081762,0.00001897587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6969865,0.01264454,0.007373553,0.0003145996,0.0002222157,0.0003049168,0.007310487,0.0008945971,0.2739486],"genre_scores_gemma":[0.9643925,0.001661588,0.005970018,0.0001748203,0.00005989293,0.00009543383,0.00416145,0.00005764837,0.02342667],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01025945,"threshold_uncertainty_score":0.03432125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04105130010899334,"score_gpt":0.2763136165609892,"score_spread":0.2352623164519959,"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."}}