{"id":"W6906554980","doi":"10.17870/bathspa.13096250","title":"Science at the Seaside - Research dissemination through conference papers, public talks & an article (Contextualising information)","year":2020,"lang":"en","type":"dataset","venue":"Bath Spa University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); George (robot); Courtesy; Schedule; Documentation; Atlanta","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002494997,0.0003088354,0.000267637,0.0007451606,0.002987364,0.001079216,0.002653021,0.0002078905,0.001416201],"category_scores_gemma":[0.002259863,0.0002732086,0.00008071103,0.004635652,0.002603516,0.007592177,0.002160596,0.0009964877,0.01389954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189713,"about_ca_system_score_gemma":0.001778244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177097,"about_ca_topic_score_gemma":0.006595469,"domain_scores_codex":[0.9955899,0.0006771177,0.0002609263,0.0006437194,0.002015624,0.0008127819],"domain_scores_gemma":[0.9960992,0.0003692523,0.0003388474,0.001348325,0.001423359,0.0004210606],"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":[0.0001149173,0.00006879813,0.00004219192,0.00003461633,0.00001898298,0.00001568945,0.002594014,0.000008105345,0.001205945,0.00401656,0.9915553,0.0003248179],"study_design_scores_gemma":[0.0002805631,0.00006102672,0.001441176,0.00006431047,0.00003365165,0.00001263113,0.007017945,0.0001722271,0.0001452064,0.00004911435,0.9904029,0.0003192775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01977669,0.00001346372,0.00009572909,0.001473441,0.0001254068,0.0006262377,0.9682591,0.000118676,0.009511262],"genre_scores_gemma":[0.08509138,0.00005820257,0.00009006207,0.0001493958,0.00007235624,0.000001446999,0.9128196,0.00001997476,0.001697605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06531469,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285452083664085,"score_gpt":0.3550641806073615,"score_spread":0.226518972240953,"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."}}