{"id":"W6968979344","doi":"10.5281/zenodo.4427957","title":"Macropsis dalhousiensis Viraktamath & Yeshwanth 2021, sp. nov.","year":2021,"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":"Apex (geometry); Aedeagus; Dorsum; Holotype; Telson","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":[0.00009058791,0.0007199126,0.000282491,0.001176546,0.001133851,0.0004350971,0.0004055552,0.0003076096,0.004814354],"category_scores_gemma":[0.0001844202,0.0001805308,0.0002128835,0.000609741,0.0002898321,0.0005079429,0.0006039088,0.0003742758,0.001630379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007037356,"about_ca_system_score_gemma":0.0007895789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03091849,"about_ca_topic_score_gemma":0.04782761,"domain_scores_codex":[0.9999118,0.000003528537,0.00001000605,0.00003319172,0.00002336407,0.00001808484],"domain_scores_gemma":[0.9999217,0.000007789605,0.00002852065,0.000006790231,0.00002287773,0.00001241009],"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":[0.0006829783,0.0002399723,0.1465299,0.001891176,0.0001743566,0.004418899,0.002095717,0.002051196,0.1177312,0.002526131,0.01935254,0.702306],"study_design_scores_gemma":[0.0001041148,0.0002403348,0.8271428,0.0004426539,0.0002033359,0.00555186,0.001973242,0.001417747,0.007811925,0.0006086553,0.1544485,0.00005491848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7204372,0.01468505,0.008346221,0.001052004,0.0006422778,0.001009464,0.0224784,0.001539796,0.2298095],"genre_scores_gemma":[0.9692946,0.002962665,0.004563962,0.0005229393,0.00006957206,0.0002943955,0.007302011,0.0000236235,0.0149663],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03091849,"threshold_uncertainty_score":0.06147701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520207353733405,"score_gpt":0.2504981498681144,"score_spread":0.2252960763307803,"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."}}