{"id":"W4409894255","doi":"10.71352/ac.47.261","title":"Enumeration of connected feedforward networks","year":2018,"lang":"en","type":"article","venue":"Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae Sectio computatorica","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NanoQuébec (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enumeration; Computer science; Feed forward; Mathematics; Combinatorics; Engineering; Control engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007492756,0.0003013977,0.00044962,0.0005918557,0.0006734767,0.0002720994,0.0009030651,0.000162537,0.0000563508],"category_scores_gemma":[0.0001188761,0.0003143907,0.0001964361,0.002168033,0.0002568243,0.0008386745,0.0003244917,0.000232997,0.00005238516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945384,"about_ca_system_score_gemma":0.0001792105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002014826,"about_ca_topic_score_gemma":0.0001351877,"domain_scores_codex":[0.9973499,0.0003312871,0.000529893,0.0007167808,0.0004398586,0.0006322648],"domain_scores_gemma":[0.997066,0.000404503,0.0004571863,0.0005882449,0.001231383,0.0002527198],"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":[0.001356102,0.001545101,0.0554167,0.0003902732,0.002124498,0.0006395957,0.02506604,0.2420046,0.01146146,0.2021344,0.3390249,0.1188363],"study_design_scores_gemma":[0.001132954,0.0006555028,0.008001104,0.00008599774,0.00005321108,0.0002559152,0.0002245021,0.9724583,0.001250692,0.000609745,0.01483012,0.0004419759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1154837,0.0001827192,0.8780987,0.0004486705,0.002293911,0.0002257445,0.000008914274,0.0002396401,0.003018072],"genre_scores_gemma":[0.981625,0.00002087663,0.01737172,0.0001812776,0.0004516625,0.00000312057,0.00001834193,0.00001997707,0.0003079812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8661414,"threshold_uncertainty_score":0.9999308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006555169149301765,"score_gpt":0.2084430814319528,"score_spread":0.2018879122826511,"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."}}