{"id":"W7045779005","doi":"","title":"Canadian carbon removal company scores US$40M grant from fund backed by Bill Gates","year":2024,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Carbon fibers; Work (physics); Production (economics)","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":[0.001403787,0.001056558,0.0006834278,0.002436958,0.004828314,0.004053574,0.001542378,0.004400491,0.3424928],"category_scores_gemma":[0.003751503,0.0005731464,0.001058735,0.001033373,0.001258903,0.00109254,0.00189705,0.002975001,0.1407134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01797453,"about_ca_system_score_gemma":0.06101459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7718945,"about_ca_topic_score_gemma":0.9110933,"domain_scores_codex":[0.9965912,0.00006851946,0.0000287896,0.0001782481,0.002521487,0.0006117751],"domain_scores_gemma":[0.9944892,0.0001387328,0.00006207373,0.0001605537,0.00338739,0.001762011],"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":[0.0000395006,0.00002567783,0.0001539402,0.00002210119,0.000004761373,0.00002341068,0.000009231034,0.0000729281,0.0002442612,0.004828283,0.9766803,0.01789566],"study_design_scores_gemma":[0.00002172917,0.00001941611,0.0007578082,0.00002632271,0.000005755428,0.00001755537,0.00005019402,0.0002802849,0.0002961531,0.0007086857,0.9978049,0.00001112639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002003618,0.001240465,0.000885258,0.02470107,0.006079621,0.0002080769,0.007816638,0.001147771,0.9559175],"genre_scores_gemma":[0.002953178,0.0002758451,0.0004484739,0.00184031,0.0001492816,0.00001612358,0.001376155,0.000152027,0.9927887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3424928,"threshold_uncertainty_score":0.9378543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552448768167592,"score_gpt":0.2477011260564471,"score_spread":0.2321766383747712,"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."}}