{"id":"W6932045275","doi":"10.5281/zenodo.891005","title":"numenta/nupic: 1.0.3","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Redlen Technologies (Canada)","funders":"","keywords":"Anomaly (physics); Identification (biology); Context (archaeology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003487517,0.00350903,0.002020776,0.004780975,0.002097768,0.00955647,0.005361574,0.003344698,0.6343279],"category_scores_gemma":[0.02257083,0.002861356,0.00202233,0.004212553,0.001024335,0.007404598,0.004661245,0.003832616,0.7703661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860541,"about_ca_system_score_gemma":0.002070373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009715419,"about_ca_topic_score_gemma":0.005137747,"domain_scores_codex":[0.9970271,0.0005011146,0.0003245232,0.0004918289,0.001275019,0.0003804484],"domain_scores_gemma":[0.990005,0.002314194,0.0005449016,0.00224026,0.00434701,0.0005486507],"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":[0.0001396247,0.0000143447,0.0002238009,0.0002036643,0.00001333485,0.00004241521,0.00005651574,0.0001931304,0.0002809377,0.002103038,0.9832356,0.01349373],"study_design_scores_gemma":[0.00008659035,0.00001831808,0.0005931767,0.0001956559,0.00001552736,0.0001623784,0.00003900295,0.0006955312,0.002194318,0.004938774,0.9909747,0.00008610138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.001169748,0.0009057228,0.02772547,0.002134774,0.003306188,0.0002732761,0.354124,0.3882615,0.2220995],"genre_scores_gemma":[0.007539638,0.000712227,0.0212252,0.001390367,0.001075319,0.0005192786,0.3417153,0.4225659,0.2032568],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6343279,"threshold_uncertainty_score":0.5215868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414567835186237,"score_gpt":0.2825290151052433,"score_spread":0.2410722315866196,"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."}}