{"id":"W6949862631","doi":"10.5281/zenodo.5253131","title":"Meropelopia americana","year":2012,"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":"Seta; Sensillum; Morphometrics; Systematics; Larva; Taxonomy (biology); Dorsum","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":[0.00003886638,0.0004208271,0.0001550145,0.0007206625,0.0005727109,0.000170426,0.0002169183,0.0001562664,0.008096517],"category_scores_gemma":[0.00007243136,0.0001097852,0.0001064062,0.0004408443,0.0001136748,0.000323513,0.0003270392,0.0001388927,0.001991568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368994,"about_ca_system_score_gemma":0.00008449783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005024529,"about_ca_topic_score_gemma":0.01439948,"domain_scores_codex":[0.9999603,0.000002977962,0.000002267524,0.00001791444,0.000009255438,0.000007285601],"domain_scores_gemma":[0.999953,0.00000397146,0.00002050712,0.000006484216,0.000008563004,0.000007372244],"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":[0.0008342156,0.0002626643,0.1662994,0.0007180625,0.0001203104,0.002965356,0.001948259,0.0003045001,0.3518257,0.002272859,0.01837186,0.4540768],"study_design_scores_gemma":[0.00002764434,0.0002173682,0.8759469,0.00011152,0.00005593082,0.003523692,0.0007294771,0.0003244375,0.003824382,0.0002693951,0.1149464,0.00002284403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588299,0.004368907,0.00120563,0.0001641834,0.00005856073,0.0001331275,0.002480715,0.0004598176,0.1322992],"genre_scores_gemma":[0.9775652,0.001248814,0.001535035,0.000195033,0.00001900877,0.00005390416,0.001429635,0.0000265609,0.01792688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008096517,"threshold_uncertainty_score":0.02708554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700551749923767,"score_gpt":0.2653175349966361,"score_spread":0.2283120174973985,"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."}}