{"id":"W6921157341","doi":"10.6084/m9.figshare.6199211.v1","title":"Viitorul a început în trecut","year":2018,"lang":"ro","type":"article","venue":"Figshare","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Context (archaeology); Identification (biology)","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":[0.001532632,0.0006055456,0.00067766,0.001753489,0.003018307,0.007306111,0.001224695,0.001962326,0.1001109],"category_scores_gemma":[0.004090144,0.0003276024,0.0007707598,0.001803517,0.001248203,0.004925251,0.003577519,0.003335933,0.03135683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002977223,"about_ca_system_score_gemma":0.002187065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006000068,"about_ca_topic_score_gemma":0.0137416,"domain_scores_codex":[0.9985412,0.0002753951,0.00006533889,0.0003692758,0.0005524645,0.0001962693],"domain_scores_gemma":[0.998343,0.0003806187,0.00006360103,0.0002332859,0.0007258158,0.0002537092],"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":[0.0002928037,0.00009026472,0.000870525,0.0003289576,0.00002250641,0.0003781359,0.001349288,0.0005228497,0.002780189,0.1223953,0.6559144,0.2150548],"study_design_scores_gemma":[0.000005701367,0.0000192728,0.0003404651,0.00009507583,0.000005248491,0.0001084783,0.0003169185,0.0004620403,0.001199819,0.009783157,0.9876541,0.000009575642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01551071,0.03192989,0.06463508,0.08319087,0.08193135,0.00033778,0.003991289,0.00327365,0.7151994],"genre_scores_gemma":[0.04678671,0.00717187,0.01686184,0.006838234,0.005255167,0.00013147,0.002588046,0.001476673,0.9128901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1001109,"threshold_uncertainty_score":0.3349043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05138828752627546,"score_gpt":0.2820186541869926,"score_spread":0.2306303666607172,"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."}}