{"id":"W7028788162","doi":"","title":"H/Cell Energy Reports FY2019 Second Quarter Financial Results - Earnings News (EARNINGS) News","year":2019,"lang":"en","type":"other","venue":"","topic":"Historical Legal Studies and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Energy (signal processing); Term (time)","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":["insufficient_payload"],"category_scores_codex":[0.0008804728,0.000644021,0.0004334635,0.001982982,0.002111317,0.005701426,0.0008466973,0.002865266,0.4270835],"category_scores_gemma":[0.003205218,0.0002973458,0.0004197853,0.001843321,0.0002962725,0.001362647,0.001194354,0.002163675,0.2726409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002399179,"about_ca_system_score_gemma":0.003275957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05645306,"about_ca_topic_score_gemma":0.129881,"domain_scores_codex":[0.9994333,0.00002663177,0.00001847158,0.00003541458,0.0003448954,0.0001412674],"domain_scores_gemma":[0.9984241,0.0001788095,0.0001148169,0.0001086741,0.0008191437,0.0003544755],"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":[0.00001489436,0.00001261408,0.0001018433,0.000009508566,6.896329e-7,0.00001288069,0.000005172297,0.0000110141,0.00002191631,0.0004998184,0.9950132,0.004296428],"study_design_scores_gemma":[0.0000186593,0.00001270396,0.002953336,0.00005950572,0.000002741419,0.00001076577,0.00007392596,0.00008932211,0.0001672372,0.0004435967,0.9961592,0.000008807935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001926893,0.0006109129,0.0001723846,0.01135289,0.00758507,0.0001261327,0.03740784,0.00101911,0.9397988],"genre_scores_gemma":[0.002322718,0.0003080876,0.00006414599,0.001164344,0.0008744008,0.0000381345,0.006604423,0.0001792224,0.9884444],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5729165,"threshold_uncertainty_score":0.8171959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008565748309595906,"score_gpt":0.2309591195901382,"score_spread":0.2223933712805423,"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."}}