{"id":"W6912871436","doi":"10.5281/zenodo.8320169","title":"Lasioglossum (Dialictus) stictaspis","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dorsum; Margin (machine learning); Line (geometry)","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":[0.00006397899,0.0003010988,0.0001439827,0.0008953793,0.0006742133,0.0001978419,0.0002524706,0.0001967163,0.006369884],"category_scores_gemma":[0.0002003242,0.0001149485,0.00009444578,0.0006947725,0.0003530715,0.000425877,0.0007218564,0.000237217,0.001554059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007238818,"about_ca_system_score_gemma":0.000321702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028419,"about_ca_topic_score_gemma":0.04997995,"domain_scores_codex":[0.9999416,0.000004629042,0.000005261926,0.00002136956,0.00001606821,0.00001108856],"domain_scores_gemma":[0.9999056,0.00001260736,0.00004475062,0.0000077944,0.00002066074,0.000008645371],"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":[0.0007044052,0.00008852126,0.143876,0.001003762,0.00008044419,0.003284338,0.004870417,0.001210327,0.0665828,0.004341129,0.02485736,0.7491005],"study_design_scores_gemma":[0.00009541059,0.0002978672,0.7874128,0.0003634704,0.000111675,0.004394747,0.002188249,0.0006652001,0.003230339,0.001052881,0.2001566,0.00003094614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715659,0.004240426,0.002338035,0.0005519076,0.0001299568,0.0001278062,0.003345117,0.0005188927,0.1171819],"genre_scores_gemma":[0.9853618,0.001363805,0.001396141,0.0002814024,0.00004821809,0.00008491593,0.001582908,0.00002185488,0.009859065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02028419,"threshold_uncertainty_score":0.04033226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05097463080338858,"score_gpt":0.234467913620953,"score_spread":0.1834932828175644,"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."}}