{"id":"W6926285822","doi":"10.24385/lincoln.25163003.v4","title":"SMT 108 - Barrie Tullett â€“Â The Small Machine Talks","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock)","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":[0.0004831944,0.0006289458,0.0003283313,0.0006545905,0.002682149,0.002663394,0.0005096117,0.001433572,0.7832433],"category_scores_gemma":[0.001379876,0.0003002062,0.0002661633,0.0003932195,0.0003744547,0.001719501,0.001740703,0.002080967,0.5714693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059143,"about_ca_system_score_gemma":0.0008837323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006068571,"about_ca_topic_score_gemma":0.02647564,"domain_scores_codex":[0.9997551,0.00003045889,0.000006096375,0.00003484398,0.0001068357,0.00006669019],"domain_scores_gemma":[0.9992575,0.0000753386,0.0000173712,0.00003523693,0.0002829254,0.0003316154],"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":[0.00001241772,0.000006684319,0.00002027171,0.0000095559,1.956333e-7,0.0000181712,0.00002683015,0.000004948334,0.0001133454,0.0006013347,0.9901797,0.009006604],"study_design_scores_gemma":[0.00000238165,0.000007548791,0.0001410625,0.0000209154,2.571549e-7,0.00002305902,0.00007169488,0.00001836838,0.00003982574,0.0001035654,0.9995696,0.000001702017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004834025,0.0004829979,0.000342297,0.005088874,0.00557779,0.00005995602,0.0005675041,0.0005507575,0.9868463],"genre_scores_gemma":[0.0008993091,0.00009244433,0.0000647412,0.0004545303,0.0002226423,0.00001408967,0.0001118862,0.0001197864,0.9980205],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7832433,"threshold_uncertainty_score":0.3091771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05541374951504622,"score_gpt":0.2678864910904219,"score_spread":0.2124727415753757,"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."}}