{"id":"W4398564707","doi":"10.7910/dvn/8qpl75/wnu5ec","title":"pen20140911_03.txt.gz","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001667396,0.00427057,0.002708106,0.005265136,0.001712658,0.00586155,0.00570054,0.004700371,0.3094853],"category_scores_gemma":[0.01098603,0.001356475,0.001961889,0.008953783,0.0009910747,0.00342824,0.004286712,0.002840158,0.3962277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002593121,"about_ca_system_score_gemma":0.003001799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03095264,"about_ca_topic_score_gemma":0.04795298,"domain_scores_codex":[0.9984531,0.0003250031,0.0001449899,0.0004888745,0.0002903075,0.0002977222],"domain_scores_gemma":[0.9963294,0.001236709,0.0002645202,0.0009507991,0.000788832,0.0004297286],"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":[0.00003057175,0.000009257174,0.0001332406,0.0004424637,0.00001586996,0.000007352019,0.00001393257,0.0001065836,0.0000383468,0.0002999046,0.998284,0.0006184126],"study_design_scores_gemma":[0.0003056655,0.00001787723,0.00094816,0.0003320161,0.00002601506,0.0000277592,0.00006939646,0.0003175528,0.0002489602,0.001850153,0.9958197,0.00003674227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003241699,0.00005399656,0.00004019727,0.00008859021,0.0000313801,0.000006745705,0.9984148,0.00060461,0.0007272208],"genre_scores_gemma":[0.0002173774,0.00006099702,0.0001693099,0.00009351133,0.0000132355,0.00006484781,0.9981723,0.0002895201,0.0009188851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6905147,"threshold_uncertainty_score":0.9849355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186070922153447,"score_gpt":0.2605227803744934,"score_spread":0.2386620711529589,"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."}}