{"id":"W7005512371","doi":"","title":"ReneSola Announces Third Quarter 2018 Results - Mergers and Acquisitions (MERGERAC) News","year":2018,"lang":"en","type":"other","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mergers and acquisitions; Quarter (Canadian coin)","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":[0.003338771,0.0008948028,0.0006641418,0.001592864,0.002848228,0.01001344,0.001460961,0.004747827,0.4153226],"category_scores_gemma":[0.007350247,0.0004478035,0.0008855214,0.001004098,0.0008643154,0.0029493,0.002067465,0.004918723,0.2727766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696021,"about_ca_system_score_gemma":0.004835326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286368,"about_ca_topic_score_gemma":0.03220047,"domain_scores_codex":[0.996964,0.0001648661,0.00005049843,0.0002119569,0.002113108,0.0004954893],"domain_scores_gemma":[0.9955298,0.0005661086,0.0001688906,0.0003757839,0.002195218,0.001164191],"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":[0.00004501043,0.00003169512,0.0001000884,0.00001545885,0.000001683734,0.00006633321,0.0000162409,0.00001853229,0.0001254005,0.002704878,0.9864243,0.01045037],"study_design_scores_gemma":[0.00001243681,0.00001429676,0.0003025703,0.00001446275,0.000001547683,0.00002969871,0.00003007583,0.00006025273,0.0002117541,0.0004986001,0.9988183,0.00000593977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002069387,0.001200817,0.001344415,0.04005114,0.01544863,0.0001986265,0.005225963,0.005663821,0.9287972],"genre_scores_gemma":[0.002422148,0.0002365071,0.0003634994,0.00280861,0.001022723,0.00003528924,0.001455435,0.0006910626,0.9909648],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4153226,"threshold_uncertainty_score":0.8339714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006681286651892222,"score_gpt":0.2565650588372042,"score_spread":0.249883772185312,"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."}}