{"id":"W7028824508","doi":"","title":"Hydrogenics Reports First Quarter 2014 Results\\n| Reuters","year":2014,"lang":"en","type":"other","venue":"","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Identification (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002505337,0.001723224,0.001759052,0.004256098,0.001013363,0.005464826,0.002008633,0.001249057,0.7177416],"category_scores_gemma":[0.0122792,0.001056648,0.001717503,0.005074665,0.0004821803,0.001976873,0.002236439,0.002401659,0.6590341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487388,"about_ca_system_score_gemma":0.00324653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366052,"about_ca_topic_score_gemma":0.01820908,"domain_scores_codex":[0.9976756,0.000395486,0.0001635909,0.000318891,0.001191607,0.0002549418],"domain_scores_gemma":[0.9929964,0.00177931,0.0004404467,0.001728481,0.002249522,0.0008058368],"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":[0.00007208573,0.00002222372,0.0001671534,0.0001038018,0.00001513797,0.000009160792,0.000006731003,0.0001022262,0.00008658458,0.0004253372,0.9852746,0.01371501],"study_design_scores_gemma":[0.0001620087,0.0000349968,0.002006678,0.00016998,0.00002742195,0.00002442919,0.000033895,0.0005041445,0.001056327,0.001932932,0.9940165,0.00003055166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00169434,0.0009836628,0.007112252,0.00529906,0.005049844,0.0003010583,0.5269856,0.04066068,0.4119135],"genre_scores_gemma":[0.00673136,0.001213488,0.005517897,0.001264352,0.001366489,0.000439835,0.3164114,0.02698498,0.6400702],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7177416,"threshold_uncertainty_score":0.4026073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00888712263289527,"score_gpt":0.2405558019033112,"score_spread":0.231668679270416,"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."}}