{"id":"W7038703263","doi":"","title":"Intermap Technologies Reports 2018 Third Quarter Financial Results","year":2018,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Work (physics); Financial Audit","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":[0.003313648,0.001541235,0.0008972278,0.006315558,0.001782447,0.01312798,0.001809594,0.00275875,0.5793648],"category_scores_gemma":[0.01280332,0.0005018191,0.0009414214,0.004729343,0.0008863778,0.005221344,0.003231507,0.002872552,0.6009365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210357,"about_ca_system_score_gemma":0.004580806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005796945,"about_ca_topic_score_gemma":0.005487849,"domain_scores_codex":[0.9963696,0.000253553,0.0001302188,0.0002855993,0.002476358,0.0004846675],"domain_scores_gemma":[0.9930971,0.0005739325,0.0003653199,0.0009868727,0.003978869,0.0009978689],"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":[0.00003843992,0.00003998465,0.0001571975,0.0000535338,0.000003923826,0.00002068162,0.00001169765,0.00009908959,0.00008854323,0.005205923,0.9682662,0.02601482],"study_design_scores_gemma":[0.00002693331,0.00001436118,0.0006655646,0.00008068646,0.000004921042,0.0000219826,0.00003030395,0.0002967866,0.0004452642,0.005180102,0.9932238,0.000009323796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008919299,0.0007568235,0.002792899,0.004967667,0.003688148,0.000154654,0.03443492,0.004596661,0.9477164],"genre_scores_gemma":[0.004903051,0.001198564,0.002300353,0.001004488,0.001123938,0.0002409054,0.0360093,0.002726342,0.9504931],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5793648,"threshold_uncertainty_score":0.599985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672606650927931,"score_gpt":0.2053800565728715,"score_spread":0.1786539900635922,"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."}}