{"id":"W2416971370","doi":"10.1088/1742-6596/718/6/062028","title":"The SNOLAB Science Program","year":2016,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Snolab","funders":"","keywords":"Work (physics); Science and engineering; Dark matter; Process (computing); Neutrino; Space (punctuation); Space Science; Computer science; Data science; Physics; Engineering; Engineering ethics; Particle physics; Aerospace engineering; Mechanical engineering; Programming language","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":[0.003337397,0.0007764162,0.0004858924,0.002730235,0.003379297,0.004466664,0.00183358,0.001673948,0.2522196],"category_scores_gemma":[0.004802035,0.0002903385,0.0004087749,0.001714139,0.0007522,0.002129132,0.003894033,0.00284781,0.1522569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003979678,"about_ca_system_score_gemma":0.01279323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006954049,"about_ca_topic_score_gemma":0.01917365,"domain_scores_codex":[0.9976019,0.0002558824,0.00003996319,0.0003227997,0.001453733,0.0003257475],"domain_scores_gemma":[0.9934488,0.000309635,0.0001775107,0.0003891145,0.002545214,0.003129682],"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":[0.00009331957,0.00007983134,0.0005053938,0.00004230013,0.000003722477,0.00004539439,0.00002579334,0.00005301042,0.0003676406,0.01490858,0.9476864,0.0361887],"study_design_scores_gemma":[0.00001393866,0.00001445111,0.0003632573,0.00001631828,0.000001022579,0.00002595402,0.00001342835,0.00007461393,0.0001398339,0.001256054,0.9980775,0.0000035682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00278602,0.001964717,0.002082712,0.03096429,0.004833704,0.0002614707,0.008434239,0.002166859,0.9465058],"genre_scores_gemma":[0.01580587,0.002498324,0.006169324,0.01096642,0.001810254,0.000361654,0.01915379,0.00125619,0.9419782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2522196,"threshold_uncertainty_score":0.8437586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335465494468795,"score_gpt":0.2552317658511327,"score_spread":0.2418771109064447,"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."}}