{"id":"W7028459021","doi":"","title":"Financial Results of NLCIL For the Quarter Ended 30.06.2022 – EQ Mag Pro","year":2022,"lang":"en","type":"other","venue":"","topic":"Innovation, Technology, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Term (time); Measure (data warehouse); Duration (music); Financial plan","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":[0.001046237,0.0005745282,0.0004485505,0.001289216,0.001090547,0.003800584,0.0008743885,0.002849427,0.3696916],"category_scores_gemma":[0.004766933,0.0002508029,0.0003612767,0.000917515,0.0004282797,0.001340458,0.0020465,0.002191981,0.2564496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003819743,"about_ca_system_score_gemma":0.006197643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02318499,"about_ca_topic_score_gemma":0.03668016,"domain_scores_codex":[0.9992585,0.00006221364,0.00002769288,0.000067178,0.0003930946,0.0001914006],"domain_scores_gemma":[0.9985337,0.0001200824,0.00009990288,0.00007424166,0.0007466459,0.0004253344],"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":[0.0001564243,0.00002321316,0.0003362946,0.00004251383,0.00000378646,0.00002379857,0.000007377981,0.00007442924,0.00009027995,0.004688666,0.9827239,0.01182925],"study_design_scores_gemma":[0.0000429811,0.00002371556,0.002448874,0.00006072769,0.000002811506,0.00001807976,0.00003358592,0.0002718918,0.000206361,0.001280712,0.9956014,0.000008806051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002060914,0.001171197,0.0003936472,0.02341062,0.007135444,0.0001415465,0.08661572,0.0008691204,0.8782018],"genre_scores_gemma":[0.008273439,0.0004210259,0.0003544852,0.002176218,0.0005741651,0.00009743074,0.02066909,0.0002605123,0.9671737],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3696916,"threshold_uncertainty_score":0.8990585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914795648973853,"score_gpt":0.299640648945293,"score_spread":0.2704926924555545,"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."}}