{"id":"W2074675307","doi":"10.1109/ms.2007.82","title":"Novelty in Sameness","year":2007,"lang":"en","type":"article","venue":"IEEE Software","topic":"Interdisciplinary Cultural and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Novelty; Hindsight bias; Psychology; Computer science; Epistemology; Social psychology; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0116231,0.0008065316,0.001222153,0.002915384,0.006240413,0.01274633,0.002157087,0.005241573,0.01653534],"category_scores_gemma":[0.0520956,0.0008015014,0.001262243,0.002224685,0.04958795,0.04153501,0.01331682,0.008561646,0.002009348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002911989,"about_ca_system_score_gemma":0.001895893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603891,"about_ca_topic_score_gemma":0.001113022,"domain_scores_codex":[0.984969,0.005754624,0.0009543036,0.004050141,0.003379588,0.0008922785],"domain_scores_gemma":[0.9654856,0.01740437,0.002749713,0.008937693,0.003585524,0.001837039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004656655,0.000008984952,0.0007953025,0.00008569459,0.00002803373,0.0000993757,0.001938127,0.0001540826,0.0002702636,0.9844002,0.002090935,0.01008236],"study_design_scores_gemma":[0.00001973506,0.00003089172,0.0006305015,0.00008281777,0.0000276194,0.0003661892,0.0008855768,0.0003940723,0.0003875582,0.961156,0.03597758,0.00004149809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.06202495,0.01177544,0.3404365,0.06983555,0.006879827,0.0002113945,0.0005381631,0.0008222571,0.5074759],"genre_scores_gemma":[0.9139128,0.002572629,0.04035159,0.008880939,0.002834584,0.0002575515,0.0002497556,0.0005174286,0.03042279],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01653534,"threshold_uncertainty_score":0.06146955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03415645288163651,"score_gpt":0.365508935073741,"score_spread":0.3313524821921045,"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."}}