{"id":"W1617848053","doi":"","title":"Data Processing Discovery Agents in the Gemini Science Archive","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Software Engineering and Design Patterns","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; Key (lock); Simple (philosophy); Scientific discovery; Epistemology; Cognitive science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009387458,0.0007338267,0.00129683,0.005017356,0.002715596,0.008159065,0.002560605,0.001894424,0.09962313],"category_scores_gemma":[0.02312449,0.0007680719,0.0005749043,0.01008453,0.0007632512,0.00756941,0.002938447,0.002765575,0.0550615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002611963,"about_ca_system_score_gemma":0.005258016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007273279,"about_ca_topic_score_gemma":0.007343918,"domain_scores_codex":[0.9968122,0.0005722804,0.0002669287,0.0004108986,0.001699224,0.0002384974],"domain_scores_gemma":[0.9787592,0.003454468,0.001159098,0.009583427,0.004775737,0.00226812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007699758,0.0001005416,0.002163709,0.0001989194,0.00003728713,0.00009934817,0.0002067383,0.0007317854,0.001282107,0.0152246,0.912173,0.06701209],"study_design_scores_gemma":[0.000165731,0.00003127728,0.001387789,0.0000412233,0.0000332731,0.00006269979,0.00008662958,0.005518261,0.004119348,0.01130077,0.9772257,0.00002723528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02950414,0.003736281,0.09338225,0.05087715,0.008265904,0.0009392761,0.3154963,0.1260571,0.3717415],"genre_scores_gemma":[0.09820724,0.002917802,0.1435507,0.003523141,0.00294211,0.0006610972,0.4795909,0.02511501,0.2434921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09962313,"threshold_uncertainty_score":0.3332726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08858258041388663,"score_gpt":0.3629661783713984,"score_spread":0.2743835979575118,"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."}}