{"id":"W6964048635","doi":"10.25446/oxford.25912678","title":"Stories told to family by Lawrence Hanley, RN","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Daughter; Front (military); Navy; Midnight; Ridiculous; Bit (key); Biography","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":[0.001943182,0.000649092,0.0003914,0.0006867468,0.01436508,0.002978343,0.001309931,0.002167036,0.06195116],"category_scores_gemma":[0.006929159,0.0003977561,0.0002167291,0.0006708011,0.002105924,0.003545255,0.00269041,0.004091886,0.01107232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004773323,"about_ca_system_score_gemma":0.005646049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08093967,"about_ca_topic_score_gemma":0.165938,"domain_scores_codex":[0.998318,0.0009260179,0.0000318578,0.0001047878,0.0002820522,0.000337361],"domain_scores_gemma":[0.9954426,0.0006363626,0.000215831,0.0001202197,0.001073077,0.002511791],"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":[0.00001457247,0.00004007847,0.001274688,0.00004215975,0.000003483398,0.002028703,0.01527029,0.00002589942,0.00005707888,0.001295043,0.9627008,0.01724721],"study_design_scores_gemma":[0.000006382813,0.00002249139,0.001338602,0.0002553044,0.000003211164,0.002462111,0.1100776,0.00003056262,0.00007838318,0.0009003252,0.8848035,0.00002151211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03697564,0.02225879,0.0006897042,0.5149469,0.013478,0.0001401623,0.000835105,0.0003730953,0.4103026],"genre_scores_gemma":[0.1911075,0.02032825,0.0007512106,0.1645775,0.001419798,0.0003351805,0.0002782275,0.0003057588,0.6208966],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08093967,"threshold_uncertainty_score":0.2072473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902625431454999,"score_gpt":0.281261942266366,"score_spread":0.242235687951816,"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."}}