{"id":"W7056586280","doi":"","title":"Fábio Galindo Takes Future Climate to International Recognition Award – US and Canada Report","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":"Climate change; Government (linguistics); Work (physics); Global warming","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":[],"consensus_categories":[],"category_scores_codex":[0.001603388,0.0005601157,0.000494566,0.001071036,0.004456096,0.005955725,0.001247593,0.004392785,0.08799143],"category_scores_gemma":[0.002851863,0.0002734577,0.0005928069,0.0006730811,0.0009175915,0.00116001,0.002859709,0.004648634,0.03476079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01394998,"about_ca_system_score_gemma":0.07489691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6258716,"about_ca_topic_score_gemma":0.828919,"domain_scores_codex":[0.9974502,0.00004859644,0.00002365911,0.00009604466,0.001604241,0.0007772876],"domain_scores_gemma":[0.9939851,0.0001058318,0.00003809685,0.0001026665,0.003034844,0.002733392],"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":[0.00001089632,0.00001139169,0.0001611279,0.000005569326,0.000001887479,0.00001802792,0.000009580546,0.00002903888,0.00006595816,0.003076786,0.9928926,0.003717161],"study_design_scores_gemma":[0.000006008685,0.00000439858,0.0009301389,0.00001461731,0.000002562407,0.00001128836,0.00006780994,0.0000685268,0.0001088129,0.0005896668,0.9981905,0.00000575178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003409014,0.003141222,0.0006534148,0.1701782,0.04380332,0.0001628226,0.007323754,0.0006654126,0.7706628],"genre_scores_gemma":[0.007366807,0.0009171756,0.000371318,0.01087438,0.0009033686,0.00002049768,0.001714622,0.0001686993,0.9776632],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3741284,"threshold_uncertainty_score":0.7526634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808122663174367,"score_gpt":0.256032650068992,"score_spread":0.2479514234372483,"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."}}