{"id":"W7036421305","doi":"","title":"Canadian Clean Tech Company, Waterotor Energy Technologies Inc., to Present at Landmark & Bloomberg LP Energy Investor Forum","year":2021,"lang":"en","type":"other","venue":"","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Landmark; High tech; Energy (signal processing); Clean energy; Clean technology; Efficient energy use","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":[0.0005801815,0.001033485,0.00040328,0.002257027,0.005683953,0.004787829,0.001003523,0.002879209,0.3823882],"category_scores_gemma":[0.001467876,0.0005815213,0.0003918959,0.002169716,0.0009209303,0.001701994,0.001063587,0.002127854,0.1669658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01143098,"about_ca_system_score_gemma":0.02965088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6799034,"about_ca_topic_score_gemma":0.883009,"domain_scores_codex":[0.9988809,0.00002152893,0.0000107265,0.00008973468,0.0008056405,0.0001914451],"domain_scores_gemma":[0.9979162,0.00007656747,0.00003377811,0.00007951749,0.001451995,0.0004419313],"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":[0.0000160165,0.00002316737,0.0002050105,0.00003824878,0.000001429875,0.00004119709,0.0000459873,0.00004597397,0.0003210736,0.009453781,0.9538703,0.03593793],"study_design_scores_gemma":[0.000003084961,0.00000388761,0.0003293415,0.00001441979,0.000001541292,0.00001288165,0.00005474914,0.00007900842,0.0002892956,0.0004303217,0.9987764,0.000005020756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005687659,0.000663835,0.0005339403,0.002949431,0.0003899531,0.00007433227,0.00231764,0.0005485773,0.9919534],"genre_scores_gemma":[0.001245176,0.0002240095,0.0001869541,0.0001841584,0.00002151075,0.00000702088,0.0003673976,0.0001022243,0.9976615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3823882,"threshold_uncertainty_score":0.8809482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941796266516005,"score_gpt":0.3122666183352636,"score_spread":0.2828486556701035,"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."}}