{"id":"W7032746500","doi":"","title":"Odyssey Semiconductor Technologies Announces First Quarter 2022 Results","year":2022,"lang":"en","type":"other","venue":"","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Semiconductor industry; Watt","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":[0.003466611,0.001128018,0.0005194061,0.001463821,0.001964022,0.006681581,0.001361769,0.003687373,0.355026],"category_scores_gemma":[0.005399131,0.0004558596,0.0009420629,0.000854151,0.0005745263,0.001515351,0.00189227,0.002763388,0.2197406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520978,"about_ca_system_score_gemma":0.007144487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04042378,"about_ca_topic_score_gemma":0.08985062,"domain_scores_codex":[0.9976798,0.000164681,0.00004559615,0.0001110547,0.001619156,0.0003797637],"domain_scores_gemma":[0.995398,0.0005004165,0.000098091,0.0002368553,0.002385897,0.001380723],"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":[0.0000339825,0.00003237281,0.0001003338,0.0000137905,0.000001422382,0.00001052354,0.000003951043,0.00003182991,0.00006539164,0.0007714307,0.9936899,0.005245129],"study_design_scores_gemma":[0.00005605554,0.00004192009,0.001423115,0.0000280874,0.000005724954,0.00001455916,0.00004881624,0.000295059,0.0003487802,0.001391886,0.996336,0.000009963429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002171288,0.0008530938,0.002446996,0.02584907,0.01326561,0.0003659651,0.04633104,0.004229311,0.9044876],"genre_scores_gemma":[0.003722724,0.0002702659,0.0008658007,0.005218502,0.0005026823,0.0001189172,0.01266775,0.0005942871,0.9760391],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.355026,"threshold_uncertainty_score":0.9199771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473665580699749,"score_gpt":0.2915100268754216,"score_spread":0.2667733710684241,"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."}}