{"id":"W6987564639","doi":"","title":"10th Canadian Semiconductor Technology Conference","year":2001,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Technology assessment; Technology forecasting; Technology transfer; Work (physics); Government (linguistics)","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":[0.0009093445,0.0008960684,0.000727096,0.002182467,0.003866521,0.005323737,0.001718028,0.001731114,0.2971338],"category_scores_gemma":[0.001045717,0.0004029324,0.0006361248,0.002110606,0.0007806249,0.001193588,0.001168945,0.001259608,0.1364006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01325994,"about_ca_system_score_gemma":0.02723155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5534728,"about_ca_topic_score_gemma":0.748329,"domain_scores_codex":[0.998949,0.00004274968,0.0000167644,0.00008256861,0.0006991823,0.0002098413],"domain_scores_gemma":[0.9987938,0.00004189361,0.00001206102,0.00008662637,0.0008688973,0.000196669],"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":[0.00006024075,0.00006602146,0.0002501805,0.00008171556,0.000007154492,0.00006328735,0.0000610303,0.00031491,0.0011477,0.009076715,0.9212965,0.06757454],"study_design_scores_gemma":[0.00000523157,0.000007531536,0.0003495376,0.00002128747,0.000006270189,0.00001897206,0.00005142764,0.0002841874,0.0005365674,0.0007209174,0.9979917,0.000006465465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002523188,0.00417855,0.003141128,0.006773939,0.005497432,0.0001088712,0.001700219,0.001097627,0.9749791],"genre_scores_gemma":[0.003638116,0.001421898,0.0007388621,0.0001940772,0.00008771184,0.00001321061,0.0007324382,0.0001142654,0.9930595],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4465272,"threshold_uncertainty_score":0.9940115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347151349588658,"score_gpt":0.2723364902629211,"score_spread":0.2388649767670345,"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."}}