{"id":"W7035751729","doi":"","title":"Advances in artificial intelligence: 29th Canadian conference on artificial intelligence, canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016 proceedings","year":2016,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Triacetin; Emperipolesis; Demotion","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006207876,0.0004092892,0.0003668782,0.0003316702,0.0006543049,0.0004675807,0.00128786,0.0003270406,0.04140491],"category_scores_gemma":[0.0002121075,0.0002198402,0.00006430713,0.0007476675,0.0002377414,0.0002363048,0.0002026031,0.0004729895,0.005206024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336981,"about_ca_system_score_gemma":0.0006090967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9331682,"about_ca_topic_score_gemma":0.9963226,"domain_scores_codex":[0.9967636,0.0001860291,0.0005269594,0.000865948,0.0005001341,0.001157354],"domain_scores_gemma":[0.9983407,0.00005215439,0.0001896916,0.0001721175,0.0004221775,0.0008231869],"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":[0.0001207649,0.00009857171,0.0001715373,0.00008217646,0.00004469713,0.00005516154,0.000204947,0.000003850942,0.0001981485,0.2964399,0.6462175,0.05636285],"study_design_scores_gemma":[0.00004101389,0.000216533,0.0003417645,0.0002738393,0.000007394255,0.000003048047,0.0004055611,0.000003313177,0.0002441881,0.01252979,0.9854435,0.0004900784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03072218,0.0007451506,0.000006070889,0.07085525,0.007319436,0.005673104,0.001108101,0.0007091847,0.8828615],"genre_scores_gemma":[0.8084685,0.001570998,0.000004588012,0.0009085793,0.001881075,0.000006712987,0.0009887838,0.0002043371,0.1859665],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7777463,"threshold_uncertainty_score":0.9955685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092021755623411,"score_gpt":0.2650261443332184,"score_spread":0.2341059267769843,"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."}}