{"id":"W4393814372","doi":"10.5281/zenodo.10366177","title":"Génie devant l'Arbre Sacré, Montréal","year":2017,"lang":"fr","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":[0.000274328,0.002169739,0.000885615,0.003335582,0.001938068,0.003043118,0.001943947,0.0008385777,0.06355807],"category_scores_gemma":[0.001559644,0.0005413241,0.000973765,0.008074275,0.0006793209,0.001086011,0.001556548,0.001646337,0.0326639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008597,"about_ca_system_score_gemma":0.01027347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9022318,"about_ca_topic_score_gemma":0.9732744,"domain_scores_codex":[0.999579,0.00003100327,0.00001397087,0.0001223023,0.0001208303,0.0001328924],"domain_scores_gemma":[0.999464,0.00006298035,0.00003739984,0.00009309632,0.0002033484,0.0001391971],"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":[0.00004726923,0.00001063882,0.001833099,0.0002219454,0.00002374705,0.00005153959,0.0001039429,0.0002691719,0.0001155369,0.0009165084,0.9902867,0.006119917],"study_design_scores_gemma":[0.0000510909,0.000005971904,0.01720139,0.0001907507,0.00001989693,0.00004784041,0.0004155513,0.0004247706,0.000347176,0.0004678848,0.9807991,0.00002858908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001619367,0.0006483802,0.0001738344,0.0002758756,0.00007362309,0.00002660259,0.9872364,0.0008815821,0.009064323],"genre_scores_gemma":[0.006191951,0.0006809334,0.0007743615,0.00006772519,0.00002555056,0.000064178,0.9781238,0.0002835463,0.01378788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09776825,"threshold_uncertainty_score":0.2126229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06176851821735114,"score_gpt":0.2756756750293384,"score_spread":0.2139071568119873,"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."}}