{"id":"W4287642332","doi":"10.5281/zenodo.4081008","title":"How To Use Hemp Max Lab?","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.002252652,0.001655255,0.000500598,0.001003179,0.002382871,0.005068249,0.002830097,0.003163327,0.5871016],"category_scores_gemma":[0.008844298,0.0009041736,0.0008735171,0.0007159721,0.001521644,0.008797863,0.005002121,0.003441299,0.5741326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510347,"about_ca_system_score_gemma":0.002617573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006072449,"about_ca_topic_score_gemma":0.01447323,"domain_scores_codex":[0.9984823,0.0002481895,0.00005960037,0.0002566532,0.0006761731,0.0002770521],"domain_scores_gemma":[0.9961391,0.0005809471,0.0001452105,0.0006775656,0.001150649,0.001306497],"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":[0.00004075479,0.0000316566,0.0001341495,0.00008076862,0.000001711485,0.0001077432,0.0002346704,0.00004523784,0.0005283508,0.003208457,0.9492072,0.04637921],"study_design_scores_gemma":[0.00001025379,0.0000145606,0.0001965169,0.00006640081,0.000002102957,0.0001302357,0.0002547324,0.00007453337,0.0006491271,0.002260722,0.9963222,0.00001865703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002239149,0.00237187,0.06105176,0.03286491,0.007011569,0.0005111884,0.007871932,0.1276053,0.7584724],"genre_scores_gemma":[0.01107122,0.002289628,0.03375603,0.01785769,0.001395445,0.0007194185,0.004398531,0.03841735,0.8900946],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4128984,"threshold_uncertainty_score":0.5889494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09981847270603393,"score_gpt":0.2369526449326403,"score_spread":0.1371341722266064,"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."}}