{"id":"W6997366982","doi":"","title":"Whitehorse Daily Star: Old Crow to embrace solar energy field","year":2016,"lang":"it","type":"other","venue":"","topic":"History and Developments in Astronomy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Energy (signal processing); Solar energy; Climate change; Sunbathing","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":[0.0006222996,0.0002438865,0.0001845606,0.0005747018,0.004711379,0.007518366,0.0004130542,0.001501977,0.04666271],"category_scores_gemma":[0.001596893,0.0001167771,0.0001701731,0.0006958867,0.001689362,0.003057197,0.003281473,0.003155528,0.01342415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001971107,"about_ca_system_score_gemma":0.003849027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01767775,"about_ca_topic_score_gemma":0.0733036,"domain_scores_codex":[0.999643,0.00003825473,0.000008584629,0.00005669271,0.0001454988,0.0001080212],"domain_scores_gemma":[0.9986836,0.00005339922,0.00004293646,0.00006158052,0.000244724,0.0009136427],"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":[0.00005691572,0.00006714861,0.003068151,0.00007623374,0.00000501271,0.00033466,0.004784233,0.00004624811,0.0004787576,0.07005634,0.7796378,0.1413886],"study_design_scores_gemma":[0.000001477691,0.000005606697,0.0006222782,0.0000253375,6.359958e-7,0.00007126675,0.000962633,0.00001363896,0.0000514405,0.002272855,0.9959705,0.000002331351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01977867,0.008349404,0.0008984922,0.03751611,0.01180335,0.00002613025,0.0003981559,0.0003239009,0.9209058],"genre_scores_gemma":[0.05443106,0.002568497,0.0004665829,0.005724241,0.001679367,0.000005892496,0.0001807571,0.0002352008,0.9347082],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9823223,"threshold_uncertainty_score":0.1561024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005321679791175048,"score_gpt":0.2191291004294171,"score_spread":0.213807420638242,"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."}}