{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002214626,0.0003461458,0.0004212058,0.0007712728,0.0006551569,0.0001320818,0.0006348601,0.0005235376,0.05162724],"category_scores_gemma":[0.0002590457,0.0003041767,0.00007806801,0.0009284974,0.0003230478,0.00004350209,0.0003260051,0.0001525689,0.0001270792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007608912,"about_ca_system_score_gemma":0.0007045302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9552844,"about_ca_topic_score_gemma":0.9995703,"domain_scores_codex":[0.997776,0.0001424051,0.0003230151,0.0005518111,0.0004436819,0.0007630868],"domain_scores_gemma":[0.9986461,0.00006328968,0.0001530993,0.0006234754,0.0002302746,0.0002838032],"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":[0.000002103583,0.00003289749,0.001908095,0.00001641106,0.00009508044,0.000003331302,0.002152964,2.888204e-7,0.00002098789,0.03094945,0.9547212,0.01009724],"study_design_scores_gemma":[0.00009153348,0.000009059229,0.00006198306,0.00006900518,0.00001306191,0.00000122776,0.0162931,2.528027e-7,0.0001392265,0.0002608802,0.9826537,0.0004069291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000324638,0.001393433,0.0001868186,0.03469829,0.001323933,0.0003831275,0.00006617656,0.0007513108,0.9608723],"genre_scores_gemma":[0.004974765,0.0007189976,0.001809063,0.003274027,0.000766579,0.0003335253,0.0004960747,0.0001513394,0.9874756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05150016,"threshold_uncertainty_score":0.9999411,"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."}}