{"id":"W2124471853","doi":"10.1109/smicnd.1999.810375","title":"A projection for the semiconductor industry in the next quarter century","year":2003,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Semiconductor industry; Position (finance); Manufacturing engineering; Engineering; Projection (relational algebra); Robotics; Manufacturing; Industrial organization; Computer science; Telecommunications; Business; Engineering management; Artificial intelligence; Marketing; Robot; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.002092559,0.0007522667,0.000414376,0.0008538703,0.002134081,0.005065796,0.0005911582,0.005395936,0.02043965],"category_scores_gemma":[0.002602549,0.0002183226,0.0005875998,0.0008177804,0.002006349,0.004991346,0.002868311,0.004584686,0.006357959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035104,"about_ca_system_score_gemma":0.006734191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002263238,"about_ca_topic_score_gemma":0.003215024,"domain_scores_codex":[0.9985807,0.0002080304,0.00006693189,0.0001091403,0.0007110978,0.0003241055],"domain_scores_gemma":[0.9981151,0.0001659558,0.0001080612,0.00005944411,0.0007619303,0.0007895569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004274469,0.0002836471,0.002639313,0.0007462997,0.00002756161,0.001120481,0.0007767408,0.001354816,0.008655529,0.4212426,0.362801,0.1999245],"study_design_scores_gemma":[0.00002144912,0.0001923862,0.001547012,0.0003125912,0.0000130324,0.0007109215,0.002003673,0.0005169105,0.0008215125,0.03937664,0.9544575,0.00002637532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05112723,0.1517893,0.01500767,0.4352945,0.04322215,0.00009250925,0.0006454624,0.0008114344,0.3020096],"genre_scores_gemma":[0.4246764,0.2239257,0.03712353,0.119611,0.006397106,0.0001778193,0.001359981,0.0002182568,0.1865101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02043965,"threshold_uncertainty_score":0.06837744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04751063184920438,"score_gpt":0.2545356577983055,"score_spread":0.2070250259491011,"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."}}