{"id":"W6969092051","doi":"10.5281/zenodo.5213993","title":"Microlinyphia impigra","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical and Agricultural Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Natural (archaeology); Context (archaeology); Field (mathematics); Product (mathematics)","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":[0.00009956421,0.0007288359,0.000338625,0.001926557,0.001864443,0.0006525833,0.0005671011,0.0004723983,0.02236782],"category_scores_gemma":[0.0003543887,0.000241535,0.0001825853,0.0008793201,0.0009373892,0.0008680927,0.001305158,0.0006453023,0.006182266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007525976,"about_ca_system_score_gemma":0.0002104438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145603,"about_ca_topic_score_gemma":0.0225918,"domain_scores_codex":[0.9998206,0.00001526749,0.00001360867,0.00005751317,0.0000516872,0.0000412673],"domain_scores_gemma":[0.9998902,0.00001922352,0.00003232676,0.00001591684,0.00002305593,0.00001928135],"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":[0.001078413,0.0002192824,0.03160559,0.00230377,0.0001698639,0.008480736,0.004436364,0.0009209224,0.0650376,0.01123945,0.0596247,0.8148833],"study_design_scores_gemma":[0.00004565203,0.0002219281,0.3852571,0.0006000581,0.0001504519,0.0141032,0.002256592,0.0003380418,0.006403632,0.001395745,0.5891851,0.00004252596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3010585,0.0318403,0.004638158,0.0009358115,0.0007436893,0.0003420799,0.003825001,0.0009074064,0.655709],"genre_scores_gemma":[0.9288492,0.007335436,0.002243078,0.0007328028,0.0004122122,0.0001283205,0.002042737,0.00008089297,0.05817533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02236782,"threshold_uncertainty_score":0.07482785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04965040154197156,"score_gpt":0.2968512572500285,"score_spread":0.2472008557080569,"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."}}