{"id":"W7036817875","doi":"","title":"Connie Pruden Grandinetti","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Criminal justice; Economic Justice; Openness to experience; Administration (probate law); Ditch","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001221832,0.0006490187,0.000401162,0.001218015,0.006613783,0.005778295,0.0009990341,0.002062747,0.3330831],"category_scores_gemma":[0.005372321,0.0004968617,0.0002738021,0.0009676832,0.001370704,0.001880121,0.00204482,0.004264546,0.08671836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006565938,"about_ca_system_score_gemma":0.01691809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2784365,"about_ca_topic_score_gemma":0.5707254,"domain_scores_codex":[0.9986951,0.0001502578,0.0000317917,0.0002263329,0.0006343676,0.000262253],"domain_scores_gemma":[0.9971741,0.0005106808,0.00006833583,0.0001494014,0.001236114,0.0008612198],"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":[0.000005866392,0.000005242727,0.00008327856,0.00002808437,8.1911e-7,0.00003967804,0.00009364787,0.00001401698,0.00002453006,0.00524484,0.9765926,0.01786755],"study_design_scores_gemma":[9.097317e-7,0.000001093589,0.0001334691,0.00004508337,5.015671e-7,0.00002225767,0.0001820275,0.000006333582,0.00002014041,0.0004152718,0.9991708,0.000002078758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006423444,0.02004737,0.0006486796,0.07166451,0.009973596,0.00006541729,0.001047451,0.0003112707,0.8955994],"genre_scores_gemma":[0.002381969,0.005316845,0.0003186373,0.005459959,0.0001795235,0.00001539554,0.0001476365,0.00009043981,0.9860896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3330831,"threshold_uncertainty_score":0.9512761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243858449425043,"score_gpt":0.2899620874907881,"score_spread":0.2675235029965377,"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."}}