{"id":"W4394042051","doi":"10.5281/zenodo.10349413","title":"Totemic Doorway","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001969821,0.000257937,0.000258981,0.0001791084,0.002974762,0.001152494,0.001655034,0.000203014,0.09967348],"category_scores_gemma":[0.0005124883,0.0002421127,0.00009539074,0.00009792612,0.0004502428,0.0001737371,0.001342409,0.0008282789,0.0864674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009194288,"about_ca_system_score_gemma":0.000004158154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005572594,"about_ca_topic_score_gemma":0.00001328705,"domain_scores_codex":[0.9983674,0.0001604079,0.0002737024,0.0005005776,0.0003252842,0.0003726535],"domain_scores_gemma":[0.9985483,0.00001115893,0.000160916,0.000596002,0.0005306613,0.0001529367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001967575,0.00005923782,8.909831e-9,0.0001078366,0.00006637885,0.00002174914,0.002595691,6.310748e-7,0.00002282806,0.004817076,0.9876442,0.004644675],"study_design_scores_gemma":[0.0002041672,0.000204837,6.952893e-7,0.00004152883,0.00004800451,0.00002554108,0.001276169,0.000003076673,0.00001203668,0.0002166001,0.9976853,0.0002821034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007656614,0.0001437069,0.00001387781,0.0009458354,0.0003339881,0.0003013654,0.8904616,0.001047074,0.1067449],"genre_scores_gemma":[0.0003190562,0.0003591045,0.000009124412,0.0006574138,0.001475795,4.992376e-8,0.991883,0.0009799359,0.004316483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1024284,"threshold_uncertainty_score":0.9998844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04221450573519314,"score_gpt":0.2308747843900763,"score_spread":0.1886602786548831,"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."}}