{"id":"W7019677164","doi":"","title":"Ian McColl as small child","year":2019,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; White (mutation); Ball (mathematics); Data collection","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0004168483,0.001251456,0.002127665,0.000329739,0.0005270713,0.003631736,0.003063749,0.001864107,0.7440658],"category_scores_gemma":[0.0000470706,0.002570151,0.0009028986,0.002365469,0.000380572,0.0009223736,0.001103022,0.003513347,0.03454065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908058,"about_ca_system_score_gemma":0.002713657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02559277,"about_ca_topic_score_gemma":0.383032,"domain_scores_codex":[0.9884198,0.0007376013,0.001185971,0.002975378,0.001057124,0.005624091],"domain_scores_gemma":[0.9951199,0.0001499075,0.001152926,0.002734619,0.00004548817,0.0007971762],"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":[0.00006093036,0.0003533599,0.001084664,0.0001825529,0.0009797325,0.0004225914,0.00001294565,0.00002996803,2.969858e-7,0.02769404,0.961662,0.007516896],"study_design_scores_gemma":[0.0022493,0.0006779628,0.0001085974,0.002836908,0.0002673334,0.0009902975,0.000008729115,0.0001100469,0.000001381692,0.09386111,0.8963967,0.002491613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003980424,0.04409408,8.905396e-7,0.0003532324,0.001791384,0.004282878,0.00082945,0.005889938,0.9427183],"genre_scores_gemma":[0.03332368,0.00671721,0.0004871873,0.003278951,0.008462961,0.0005452539,0.003589455,0.01168668,0.9319086],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7095252,"threshold_uncertainty_score":0.9994317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003350711187108085,"score_gpt":0.167904447722046,"score_spread":0.1645537365349379,"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."}}