{"id":"W7001577704","doi":"","title":"#Laser #Tech Company Coherent, Inc. (NASDAQ: $COHR) Shows Big Gains following First Quarter News","year":2017,"lang":"en","type":"other","venue":"","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Big data","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":[],"consensus_categories":[],"category_scores_codex":[0.002283836,0.0005180049,0.0004340597,0.001187498,0.00696073,0.008378599,0.001173229,0.01455242,0.2467334],"category_scores_gemma":[0.01107628,0.0004240685,0.0007814078,0.0007882498,0.001992936,0.002781992,0.002083176,0.01030507,0.1213638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004464834,"about_ca_system_score_gemma":0.007772276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03266897,"about_ca_topic_score_gemma":0.09277766,"domain_scores_codex":[0.9971938,0.0002398439,0.00008795093,0.0002009611,0.001671287,0.0006061688],"domain_scores_gemma":[0.9938268,0.002050721,0.0002141051,0.0002756407,0.002396571,0.001236128],"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":[0.000007472642,0.00000493572,0.00004403209,0.000009892083,7.076889e-7,0.00004935675,0.00002198735,0.000003120303,0.00003454922,0.002947969,0.9943316,0.002544579],"study_design_scores_gemma":[0.000008420017,0.000006222111,0.0003617999,0.0000595971,0.000002329012,0.00004471119,0.0001577013,0.00002225484,0.0001237431,0.0008343306,0.9983723,0.000006643019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008625587,0.001982945,0.0001390853,0.36022,0.02647475,0.00005420754,0.001018107,0.0003335548,0.6089147],"genre_scores_gemma":[0.005215312,0.001298728,0.0001456217,0.09015666,0.009229387,0.00004512999,0.0005017375,0.0002653583,0.893142],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2467334,"threshold_uncertainty_score":0.8254055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829581309785455,"score_gpt":0.3009276141478738,"score_spread":0.2626318010500192,"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."}}