{"id":"W4393843956","doi":"10.5281/zenodo.10377486","title":"Transfer Print Saucer - Ivan","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; History; Art history","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":[0.0004356935,0.002475025,0.001139153,0.002532282,0.001276164,0.002185482,0.002475369,0.001589225,0.06535641],"category_scores_gemma":[0.00180026,0.0005616423,0.001219649,0.004388331,0.0005127176,0.001454949,0.002404092,0.001714691,0.1504094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758517,"about_ca_system_score_gemma":0.002185967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07611378,"about_ca_topic_score_gemma":0.2277004,"domain_scores_codex":[0.9994051,0.00007710689,0.00003350171,0.0001764631,0.0001748532,0.0001329616],"domain_scores_gemma":[0.9993673,0.00006846059,0.00004414819,0.0002225794,0.0001907377,0.0001068013],"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":[0.00004255488,0.0000160718,0.0005226174,0.0002490369,0.00001227639,0.00002834495,0.0000387287,0.0001269159,0.0001319315,0.0004205803,0.9947252,0.003685685],"study_design_scores_gemma":[0.00003343354,0.000007271391,0.002542054,0.0001007478,0.000006538778,0.000050484,0.0001028254,0.0002189701,0.0003092965,0.0004366883,0.9961766,0.00001503772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007529272,0.0002697815,0.0001941433,0.00008375329,0.00007932045,0.00002540021,0.9906855,0.001885553,0.006023504],"genre_scores_gemma":[0.0008036947,0.00008878002,0.0003789256,0.00002652524,0.000006786741,0.00003632492,0.9954914,0.0001868024,0.00298074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9238862,"threshold_uncertainty_score":0.218639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286978652365698,"score_gpt":0.2538293954823657,"score_spread":0.2209596089587087,"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."}}