{"id":"W1624339740","doi":"10.14288/sa.v1i1.186488","title":"Dynamite with a SLAISer Beam!","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dynamite; Political science; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005476113,0.00005713878,0.000066413,0.00003580746,0.0003502711,0.0004658666,0.00009210735,0.00002312946,0.0004341365],"category_scores_gemma":[0.00001332735,0.00005239898,0.00001111851,0.0005519089,0.000008017834,0.0001763071,0.00002274441,0.00008673238,0.00008208011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006284787,"about_ca_system_score_gemma":0.00003428952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005466492,"about_ca_topic_score_gemma":0.001090859,"domain_scores_codex":[0.9996907,0.000009849695,0.00006419761,0.00007389161,0.00006758167,0.00009375424],"domain_scores_gemma":[0.9997596,0.00001242982,0.000008840457,0.0001041172,0.00003967152,0.00007530967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007031553,0.000008213519,0.0001327372,0.000001770614,0.00001845891,0.000001821615,0.0001708021,0.7380143,0.00001447382,0.0000549419,0.2614504,0.0001250261],"study_design_scores_gemma":[0.001118978,0.00009859955,0.0009179105,0.00002256746,0.0000209947,0.00004032355,0.000627386,0.4545133,0.00009345262,0.0001951357,0.5420853,0.0002661142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0009042165,0.00001642753,0.03802865,0.00006350059,0.000179441,0.0001990668,6.210412e-7,0.000201349,0.9604067],"genre_scores_gemma":[0.5642539,0.000002845894,0.003420968,0.00005672223,0.00005731124,0.00008674616,0.000009934096,0.000034631,0.4320769],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5633497,"threshold_uncertainty_score":0.4753491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018886023014428,"score_gpt":0.2381147058035892,"score_spread":0.207925845573445,"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."}}