{"id":"W4405680075","doi":"10.2172/2483257","title":"Alaska Hydrogen Opportunities Report","year":2024,"lang":"en","type":"report","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"EXP (Canada); Brampton Civic Hospital","funders":"U.S. Department of Energy","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00250146,0.000975758,0.0003781291,0.002154831,0.00357522,0.005577862,0.001870192,0.002992618,0.1881339],"category_scores_gemma":[0.004477644,0.0004284863,0.0005693351,0.002027347,0.000483516,0.003359732,0.004189769,0.002951984,0.09023039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002929824,"about_ca_system_score_gemma":0.01103239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03354054,"about_ca_topic_score_gemma":0.0378727,"domain_scores_codex":[0.9975066,0.0002033068,0.0001395501,0.0002533814,0.001541979,0.0003552832],"domain_scores_gemma":[0.9971386,0.000258126,0.0001454216,0.0002361795,0.001650946,0.0005707098],"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":[0.00005528246,0.0000371742,0.001012467,0.0002180357,0.000007801682,0.0002667911,0.000216835,0.0001069752,0.000214204,0.007214375,0.9585492,0.03210081],"study_design_scores_gemma":[0.000002133434,0.000008179371,0.0007206656,0.00005782168,0.000002333389,0.0000402577,0.000184524,0.0000146355,0.0001054396,0.0003968103,0.9984616,0.000005633971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002925546,0.006580912,0.001152143,0.01478432,0.0114425,0.0004372727,0.03540669,0.001117732,0.9261529],"genre_scores_gemma":[0.01940032,0.009167762,0.002451332,0.005790567,0.001941839,0.0005267621,0.04966943,0.0005755803,0.9104764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1881339,"threshold_uncertainty_score":0.6293707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03641180477612686,"score_gpt":0.2529321352427367,"score_spread":0.2165203304666099,"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."}}