{"id":"W6931678393","doi":"10.5281/zenodo.7003352","title":"Copelatus caelatipennis subsp. princeps Young 1963","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Instar; Nearctic ecozone; Larva; Margin (machine learning); Dorsum; Table (database)","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":[0.00007316352,0.0002309359,0.00009352268,0.0009680534,0.0004709961,0.0001612538,0.0002399235,0.0001185783,0.004229382],"category_scores_gemma":[0.0002225649,0.0001426808,0.0001316615,0.000688952,0.0001543827,0.0002700007,0.0002623906,0.0001603047,0.0009754908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249703,"about_ca_system_score_gemma":0.0002244179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348241,"about_ca_topic_score_gemma":0.06388693,"domain_scores_codex":[0.9999475,0.000002104617,0.000006630546,0.00001633562,0.00002072213,0.000006637929],"domain_scores_gemma":[0.9997571,0.00003206331,0.00009942811,0.00001889455,0.00006262073,0.00003001568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003896381,0.00009162524,0.4856884,0.0008176575,0.0001617956,0.001897129,0.001223275,0.0007724361,0.08343747,0.0004383606,0.01120714,0.413875],"study_design_scores_gemma":[0.000008873539,0.00008757159,0.9758611,0.00004527532,0.00002314908,0.0009350337,0.0002175606,0.0001755918,0.001570071,0.00003718057,0.02103104,0.000007635598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285504,0.001882845,0.001477712,0.00008552452,0.00007827697,0.0001975864,0.006062249,0.00009707626,0.06156832],"genre_scores_gemma":[0.9774584,0.001454318,0.002777794,0.0001244367,0.00003041801,0.0001156043,0.004040742,0.00001293127,0.0139853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348241,"threshold_uncertainty_score":0.02680784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09858462899611867,"score_gpt":0.3269943423664333,"score_spread":0.2284097133703146,"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."}}