{"id":"W6991383547","doi":"","title":"Gates Invest $40M in Montreal-based Direct Air Capture Startup","year":2025,"lang":"en","type":"other","venue":"","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Process (computing); Work (physics); Government (linguistics)","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":[0.0007758496,0.00154957,0.0003116912,0.0017911,0.002847757,0.003188947,0.001537949,0.00279646,0.4375064],"category_scores_gemma":[0.00210104,0.0005552081,0.0009104763,0.0008345681,0.0008854674,0.001220571,0.002248721,0.002743335,0.1393453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01092267,"about_ca_system_score_gemma":0.03092936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5590521,"about_ca_topic_score_gemma":0.7535954,"domain_scores_codex":[0.9989566,0.00005467584,0.00001234096,0.0000926695,0.0005213838,0.0003623643],"domain_scores_gemma":[0.9982981,0.00008626688,0.00004300437,0.00005071107,0.0006165625,0.0009054061],"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":[0.00007421658,0.00009535116,0.0005982729,0.00003841661,0.000007030254,0.00005674201,0.0000136387,0.0002097508,0.0003260905,0.004688266,0.958041,0.03585133],"study_design_scores_gemma":[0.00004048657,0.00004305899,0.002150891,0.00003389002,0.0000051489,0.00002606452,0.00006873284,0.0004120391,0.0002491002,0.0004150764,0.996546,0.000009485805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003039328,0.0008238645,0.001440844,0.01103582,0.004071087,0.0002758235,0.01072476,0.001787034,0.9668015],"genre_scores_gemma":[0.01029294,0.0004071326,0.0006769093,0.002616499,0.0001855652,0.00005539535,0.004313137,0.0002048136,0.9812477],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4409479,"threshold_uncertainty_score":0.8870894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004266035781770941,"score_gpt":0.2203253328609303,"score_spread":0.2160592970791594,"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."}}